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“I think we need to dial back and become more authentic, more real, like stop virtual handshakes and forget about the virtual reality world”
– Shilpi Agarwal
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Talk Summary
5 things you must know about the @Facebook Meta re-branding and how it affects you!
00:00 Shilpi: Hello, everyone let me introduce all our participants from the DataEthics4All Leadership Council. Hi, Sam, hello Kevin, Susanna hey, hi, hello so today we are going to start a new series really excited about it, Ethics 1st LinkedIn Live talks and the first topic today is something on everyone’s mind, Facebook Meta – why did Facebook change the name to Meta and how does this affect us?
That will be the conversation of today, please join us, we are able to take your comments Live here, so please join us and leave your comments we are Live on Facebook, YouTube, as well as LinkedIn, so send us your questions comments, feedback – we have a QR code to join our community on the right if you like what you see here, and you want to be a part of this discussion, up, down here right now so my other right [Laughter] it gets mirrored so yeah please, take a look at that all right everyone ready panel is ready [Laughter]
3:57 Shilpi: Yes so let’s start with the first question that is on everyone’s mind, what do you think of Facebook Meta and why do you think Facebook decided to change its name to Facebook Metaverse, all of a sudden?
5:17 Shilpi: Okay so, Kevin thinks it’s a marketing move, Susanna what do you think?
5:22 Susanna: It is a marketing move, it is a business move and it is a legal move and it’s also a PR move – they just want to distance themselves from the product itself but it has other you know reasons behind the scenes, Susanna, Sam what do you think?
5:40 Sam: Yeah I think it is it’s a move away from the criticism they’ve faced and it’s a bit of a distraction so it’s definitely a marketing move and they’re wanting to promote new products that they’ve invested in as an organization, so VR and AR and it’s engaging younger audiences as well. So I think it’s important, for them in this area.
6:04 Shilpi: So here’s what I think, that I agree with all of you – it is yes a PR move, yes it is a legal move, yes it is a marketing move, yes it is some sort of distraction, which we will get into – in our next question, but most of all I don’t think you can come up with something like this overnight – so this might be something that they, it must have been in the pipeline for a very long time
6:39 Shilpi: That they must have been thinking about doing something beyond just the social media platform and yes, they have always invested in like different projects but none of the projects have taken such strong limelight that you know we have heard about them
6:47 Shilpi: So we all remember and associate Facebook with its one social media platform and after you know it was started in 2006 and so it has come a long way and since then I think it’s time for the next version of not just the platform but also the company to evolve as a natural progression of where it should go, it came at a time when they may have felt like there is a need to speed up that process because of the fire and the data that they have been, more so now than ever and so I feel that this might have been in the pipeline but they expedited the timeline, for the purpose that we all know and we’ll get into this next question as you know.
Shilpi: do you think it’s a diversion tactic,
Sam? We will start with you
7:38 Sam: Yeah I think it is a diversion tactic Shilpi, yeah – they, I think Facebook is starting to realize as well that they’re seeing a decline in a younger audience, I think that’s also part of it on the Facebook platform and it’s just a way for them to continue to expand this market in this area and use the data that they’ve obviously collected on the platform, as well so yeah, partly
08:08 Shilpi: Yeah, absolutely Susanna?
08:13 Susanna: it is a diverse tactic, yes but you know I don’t think the people behind Facebook are like you know idiots or anything they would actually know that when you bring up a blurry branding yeah
Susanna: re-branding at a time like this people are always going to jump on you and say, hey you are just trying to divert us from what we are doing here behind the scenes whatever is the illegal stuff we are trying to do
It’s a cover-up but they know that they know this could be a bad PR move but they still went ahead with it.
08:48 Susanna: So that tells me that it’s not just a diversion tactic, this was in the works for many years because, but from I think almost like five years ago the younger audience started leaving Facebook and the older ones
Susanna: the more radical ones took over the platform and we saw the effects of that the impact of that during this election, so they knew that this was you know coming along the way they need to somehow appeal to the younger audience
Susanna: which was moving to things that were more not real the filters on Instagram and all of that they liked that kind of stuff so now, this was you know natural progression, so you know it’s it is a distraction, you know diversion but that PR people do know that we will catch on that and we will you know bang on them in on them and say hey you’re trying to distract us they knew that but they still went ahead with that
09:43 Shilpi: so yeah it was in the pipeline, yeah I mean Snapchat came up with these filters, and like if I look at today’s younger audience from our youth council and the youth that we work with we have had these discussions on Facebook disinformation and polarization in our town hall meetings and yes, they have clearly mentioned that you know they do like to have friends who constantly post something on social media
Shilpi: and they are looking for these, how beautiful I look and they are checking it constantly for their friends to say, oh this picture of you looks, makes you look so beautiful so it is such a negative kind of connotation where you know we are looking for external validations
Shilpi: constantly, and our next generation is doing that and as you can see, as you told Susanna as you mentioned our kids are not on Facebook they don’t want to be there they are on Instagram and that’s the whole reason why Instagram and Snapchat and Tick Tok are the three main platforms or of the future generation and that’s one of the reasons why Facebook acquired Insta and who knows, wants to acquire others but and Whatsapp as well. So definitely it’s not something, Kevin do you want to add something to this?
11:04 Kevin: Yeah no I would just add to both I mean all of your points there that this was definitely a diversion tactic, it honestly doesn’t make too much sense that Facebook would be the first one to the market, especially when it’s not a technology inherent or inherently technology company, it’s it was born as a social network and then it’s competing with Google, Microsoft even Amazon is more technology, I would say so if it’s the first one there’s definitely a reason why and to me honestly I think there was never going to be a right time for them to come out with it but it was always going to happen
11:44 Kevin: So for them, it’s also a very strategic move to be the first mover to the market, I think there was never really a good time but I think the best time is was today like that’s the mentality right yeah.
11:58 Shilpi: I mean we have seen more and more of these video games and all of these that our younger generation is so addicted to like the 360s and all these gaming stations and even online video games that they like to play what are some of you know biggest ones out there?
12:17 Kevin: Roblox it is….
12:18 Shilpi: come again?
12: 20 Kevin: just, in my opinion, they are in Metaverse already because you can build games inside that game yeah, everyone’s heard of Roblox but that’s something that’s going on it’s like the Minecraft of a decade ago!
12:34 Shilpi: yeah Minecraft, and yeah so it’s like I mean AR we are augmented reality and virtual reality somebody there’s some disturbance um AR and VR is such a bigger umbrella-like, you could fit anything under that umbrella right you can have banking experience as an AR experience you could be not just playing sports or actual games but you could do real-life stuff, feed somebody or do banking or buy something shopping
Shilpi: all of these could be gamified in their own way like personified and gamified as someone else
13:18 Shilpi: So it is a very big umbrella huge universe that they are moving into um and so if do you guys think that Facebook by changing its name and they have made a claim that Facebook itself the platform will remain to be called Facebook
Shilpi: do you think at some point they are going to fold Facebook and what will happen to our dataif they do what do you think about that?
13:45 Susanna: 100% sure that it will soon reincarnate itself into something else it may even be called Facebook or not but you know because Facebook or Metaverse right now doesn’t have it has any legal liability to hold true to its word that it won’t hold Facebook away they can’t change that in any time and fold it but I’m hundred percent sure it will be folded into it into the Metaverse and it will have a digital you know virtual reality component to it okay
Susanna: And the data will be used to create digital twins of all of us who will all you know those who are not knowledgeable enough will obtain and say yes to that and that’s what they are betting on!
14:35 Shilpi: I actually don’t know if you know this, I don’t know if this is an Indian theory or in our mythology, it just said that there are seven people identical to you in the whole world like at a given time.
There are seven identical people, I mean they may be different ages, they may be at different Geo locations
14:58 Shilpi: So if that was true then who knows this Metaverse will create not just twins we already have seven out there seven Susanna’s out there already so who knows!
What do you think about the re-branding and whether it would go away? Sam?
15:15 Sam: I don’t I think Facebook will as a platform will not go away completely, I think there is still a market for Facebook and I think until obviously we know that legislation you know it gets put in place and we have legislation around data protection, more data protections the platform will be used, the data that Facebook has will potentially then be migrated over to the the mixed reality world of Metaverse, I think there’s definitely going to be demand there but I do think we’ll stay for quite some time until Metaverse is you know is realized, you know in this among its customers and I know also I also think that there’s going to be companies particularly you know we’ve mentioned Microsoft we’ve mentioned gaming organizations, gaming companies, e-commerce platforms that might be interested in working with Metaverse and being part of it that will want to continue you know utilizing the platform and also moving over to Meta as well so the data will still be the data will still be there, um so yeah I don’t think it will yet
16:33 Shilpi: I agree with you I think see at least a few of our previous generations like our parents right and our grandparents as well as our generation I think is still on the platform.
So it still makes sense until we die at least you know there is some truth to that some validity in that platform and it may still be there they may evolve they will definitely evolve.
Shilpi: I do think yeah whether they change the name or the look and feel of the GUI or the UX or whatever that may look like it they may change the features are always added and removed but yeah it will stay.
Shilpi: But one thing that Facebook has not openly said and is not doing today openly like actually selling data of customers
Shilpi: Yeah they do that through their apps or you can integrate with their APIs or their play store whatever, that may be like you can indirectly make use of the marketing that ad targeting, right
Facebook is sitting on a gold mine of data and of all of the customers of like a billion people of the world customers out of the seven we have one billion or two billion people whose customers
Shilpi: Even ghost profiles they even have ghost profiles of people who are not even on Facebook, even my grandmother might be on some kind of profile of my grandmother might be on Facebook, right?
17:55 Shilpi: So they might be able to then actually chop and chunk that data and sell it off to like different vendors for different purposes before they so, I’m sure they’re really going to milk it completely before they decide to shut it down so yeah
Shilpi: yeah it’s not going to be soon and like you said until Metaverse really takes off it’s not going to happen, they’re still making a lot of money from ad targeting and showing ads and doing all sorts of posts and things which they will continue to do
Shilpi: I just hope that they use it better you know they tweak their algorithm for everything that they have been under the fire they tweak their algorithm and for the better protect their customers and do right by them
Shilpi: so that brings us to the next question where you know the new Metaverse promises to have everything and it may have everything who knows what, all it will have like from shopping to virtual reality games and we talked about all of this, so is it, will it be like a parallel universe like we are living in this real-life universe but will it be like a parallel universe, where you know it’s it’s a virtual world and all the family and friends that I’m connected to today on Facebook, will they automatically be connected because as you all know one of the biggest pain points in adopting a new platform is building this network from scratch right you literally whether it is signals or Whatsapp or whatever maybe you have to literally manually either bring your contacts or slowly like Linkedin when we all started we know how that was like we it was hard to even get 500 people to be connected to right?
19:40 Shilpi: So it is a painstaking process to really get on that bandwagon, so is Facebook going to help us with that like I, are all my friends and family members automatically going to be on Metaverse, or what do you think?
19:56 Sam: Yeah I think you will be able to do all those things, you will be able to shop, you’ll be able to socialize with your friends as you would on the platform now but in VR and it would possible for you to invite your family or friends to join you, I think, and you’ll potentially then be able to invite your network, I don’t think you’ll need to build your network up again from you know from the beginning um but we don’t know that yet so for me my opinion I think you might have that option
20:30 Shilpi: yeah exactly yeah we will exactly, all right Kevin do you want to what are you doing?
20:38 Kevin: Okay so there’s a big technology barrier though I mean I’m hoping that in the future everyone can figure out the Metaverse one day but I still would say that some people might not have that access
Kevin: maybe it’ll be even as simple as not having access to the internet right? Something new but then that is also solving itself in the future I guess, but yeah I would say technology is key and also interest yeah I know that as an introvert I would love it if it would help me socialize better because that is one of my biggest weaknesses I would say that’s I mean that’s one way that Linkedin has helped me tremendously over the past few years is connecting with people, right it’s so easy to just connect with someone and not look like a complete creep, but I’m very curious to know what it’ll be like on the Metaverse when you just go up to someone and add them as a friend, or and I’m guessing on the Metaverse you can go up to someone’s house and like knock on their door, now I don’t know like I’m very curious to know how this will work, maybe it’ll be less awkward to knock on a stranger’s house and like for that stranger to even invite you inside because it’s the Metaverse what could go wrong right? Like I’m really curious to know how that would be
21:53 Shilpi: yeah what do you think Susanna?
21:57 Susanna: absolutely I think I know it’s easy adoption from Facebook’s point of view it’s easy adoption. So one billion users on Facebook alone and then you have Insta and then you know what’s up you know they could easily you know I have with the adopt the platform to you know
Susanna: incorporate the people who are already there it’s not like you have to now sign up it’s your entire network is already there just you know make up your own avatar world and your digital world and that is what they are betting on
Susanna: I believe I don’t think they would be creating another separate one and saying you now have to add one migrate everything I don’t think so I think it will be easy migration and that’s what they are betting on
22:40 Shilpi: Yeah and I agree with all of you, yeah, I mean that would be the simplest choice like one click of a button do you want to import all bring invite all your friends and family like your entire network to Metaverse and you just say yes without even reading the 40-page document as to what they’re going to do and how they’re going to use that and yes like yes okay, I want to meet my mom here I want to meet my best friend here and there you go there you have it right my brother my sister or my children
23:13 Susanna: especially you know the older population like my parents you know they wouldn’t even know what that means, yes and their age group every one of their friends it’s its kind of you know good for them in a way they will be able to connect and talk but you know I still like just last week ago my dad you know clicked on an Amazon 27 year anniversary coupon or something and forwarded it to everyone and it was a scam, oh and he forwarded to all of his contacts and I had to now go and clean out his account to reset the password and do that and he knows none of that and this is what’s going to be happening. So you asked you know will you have we have all your friends in the Metaverse, not Susanna she won’t come there you won’t come back
24:06 Shilpi: Facebook you better watch out the Susanna’s of the world are not going to be on your platform you better have an alternative tactic to bring them on, so I actually feel I agree with you it will either be the really elderly generation or it would be the really younger generation who will be you know kind of sucked into this world sooner, I think the younger will be the first to adopt it and with them, they will bring like the Tick Tok, the Tick Tok users will be the first users to probably adopt Meta, I mean who knows time will tell, right this is speculation but I think because they are already gaming in other worlds and other platforms to them this will feel like the natural first choice of adoption and it would be good to see their friends there
24:59 Shilpi: So they will be, they will adopt it and then we’ll see if they would want to invite their parents there and then network there and then we’ll find out all right we I mean we could go on and on
25:11 Shilpi: I’m going to end with one last question um do you think Metaverse will follow better data privacy as well as algorithmic guidelines and try to do right by their users protect the users
Put users above profits and everything that has come under the fire what is your opinion, what do you think? Are they going to change are they going to do right by their people?
25:38 Susanna: No, no
25:44 Sam: I am not confident
25:46 Kevin: Unless they become a nonprofit out of nowhere, it’s impossible for them to do that, they know that you know they’ll get money at the expense of people’s lives right? And that’s what they’re they’re kind of doing I think they’re exploiting people even further by doing this because now you have to give even more information than you had to before
26:06 Kevin: I mean one of the things I’m very curious about and concerned about is the verification process because to Susanna’s point if she decides to stay at home and not come on the Metaverse like stay in her actual real home and not the Metaverse
Kevin: What stops somebody else
from posing as her?
26:26 Kevin: Yeah, I mean they might have, I mean maybe a really close friend of hers has all of her information there’s like basic high-level personal details they can pretend to be her right, yes but I’m guessing there will be a verification process, that’s even more strict than it is right now, that’ll require you to have things like you know um your fingerprints
26:44 Shilpi: yeah like SSN and you know all these personal identifications
26: 49 Sam & Susanna: Biometric data, Biometrics, right yeah, yeah. Yeah to get the blue tick check on Twitter and Facebook, you have to give your blue social security number
27:59 Shilpi: Yeah, yeah you have to give a lot of data away yes
27:04 Kevin: And I believe that’s what the verification process will be like it has to be strict right to prevent this from happening
27:10 Shilpi: So basically what I’m hearing is that in a parallel universe which is all virtual there will there will be facts to check that we are a real person and all our personal data will be we will have to give away to get that
27: 28 Sam: yeah, yeah that is captured as well yeah, that’s true yeah
27:30 Shilpi: Oh my goodness. So we are entering a really really very perspective world where you know, who knows what’s going to happen, do you think ever the virtual and the real-life worlds are going to merge together?
27:44 Susanna: I mean I don’t think that’s a futuristic question they already have right, yeah and they already have on our social media platforms and already our you know virtual and you know real are emerged to create an expert
28:00 Shilpi: to this extent where this…
28:07 Sam: there is a there’s this completely different world where we can just transition, yeah. I do think there’s going to be a role for augmented reality in VR in our lives and but I don’t think there’ll be a full transition to it in my lifetime, I don’t think I don’t know what you guys think? I think they’ll be here
28:26 Shilpi: I think if anything we should roll back, dial it back to like becoming more authentic and more real in life
Like, first of all, I disagree with what Kevin is saying he’s not an introvert, I don’t consider him an introvert but of course, that’s what he thinks of himself and it is true like so many people have so many friends on social media and they make me they receive like such a popular personality or a person and in real life, it’s hard for them to go up and even hi to a stranger or even talk to someone right and so it’s like we live in this world where social media seems to be uh, to be guiding our life like it seems to be more popular and so if anything I think we need to dial back and become more authentic, more real, like stop virtual handshakes and forget about the virtual reality world all together go out and i
Shilpi: If Covid taught us anything it’s like you know say hello to your neighbor go in person and you never know when you will be stuck inside your home for two years right, that’s all happened
29:32 Shilpi: So for those kinds of things yes AR/VR is good but until that is not there we better start enjoying the life that we have been given
29: 49 Kevin: I think my perspective is probably it might contradict all of yours but I see a world where with all these things happening and maybe I mean hopefully god forbid another Covid breakout, um, I see a world especially with climate change um where we might not even have the luxury of stepping out anymore, yeah I mean we’ve all seen the apocalyptic movies and those things right and we’ve all seen black mirror and now we have the Metaverse, so what’s to say that we don’t live a post-apocalyptic
30: 12 Shilpi: yeah if we go on Mars and we have to do this. I agree that that that would be a good way to save ourselves to enjoy life without feeling like we’ve lost everything and other than that if no forwards nothing happens then I think we should go out and enjoy real meeting real people and enjoy the real shopping experience
30:37 Kevin; we should start by meeting each other first
30:41 Susanna: and to you know before we end it I just want to say something you know introverts are the smartest most creative people and they are not intro as a thing is not a bad thing at all it is a normal part of who you are and that is from a high functioning introvert myself so you know it’s not a bad thing
31:02 Shilpi: this might be a discussion for next time so what defines an introvert because I don’t see you both as those that you define yourselves, uh so I think that this calls for a very interesting discussion for next time join us and we’ll find out what an introvert is all right everyone thanks you for joining in and uh don’t forget to uh scan the QR code and join us, I’m not even going to try this okay Kevin has got it, yeah right oh Susanna oh all of you got it okay, all right!
31: 38 Shilpi: So well then take care, uh thanks for tuning in, take care bye! DataEthics4All Ethics 1st live LinkedIn talks, bye everyone, bye!
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``I decided to make a career switch``
``And this is where things got really interesting, and this is when I actually fell in love with data`` - Kate Strachnyi
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“You are a great role model from you know, having young kids to running your business, to actually doing the running like you’re running a marathon tomorrow!”
– Shilpi Agarwal
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``80-90% of the content you put out on social media should be on the topic that you want to be recognised for`` - Kate Strachnyi
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“The more you comment, and the more you know, you put yourself out there, the more people are going to be attracted to you and sort of help you build that network.”
– Kate Strachnyi
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Hear about Kate Strachnyi’s journey of transitioning from a full-time role to launching her own business and being dedicated to data…DATAcated. Kate Strachnyi is the Founder of DATAcated, providing brand amplification for companies focused on artificial intelligence (AI), machine learning (ML), and data science. She’s also the founder of the DATAcated Academy – delivering training on data visualization best practices. She’s delivered several courses on data storytelling, dashboard techniques, and visual best practices. Additionally, Kate is the host of the DATAcated Conference and the DATAcated On Air Podcast. Kate was appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019.
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0:00 Shilpi Agarwal:
Next we have Kate Strachnyi. She is the founder of DATAcated; if you’re on LinkedIn and you don’t know her, you must be living under a rock, she’s super active! She is the LinkedIn top voice, she’s providing brand amplification for companies that are focused on artificial intelligence, machine learning, and everything under data. She’s also the founder of DATAcated Academy, delivering training on data visualization best practices. She has delivered several courses on data storytelling, dashboard techniques, and visual best practices. Additionally, Kate is the host of the DATAcated on-air podcast and the DATAcated conference which just happened two weeks ago, and I was honored to speak at the conference! Kate was appointed a LinkedIn top voice of data science and analytics in 2018, and 2019. Welcome. Kate. It’s a fabulous honor and pleasure to have you. I am just in awe of you! I follow you on LinkedIn, I feel like you are a great role model from having young kids to running your business, to actually doing the running like you’re running a marathon tomorrow! The list goes on and on; you have an academy, you are the LinkedIn top voice; I don’t want to keep our audience waiting, so I’ll give the stage to you.
1:50 Kate Strachnyi:
Awesome, thank you so much, Shilpi, thank you so much for that very, very kind introduction. I’ll share with you my DATAcated journey and I’ll basically walk through what inspired me to get into data analytics. Also, I want to leave you with some tips in terms of building your own brand, building your own community, whatever that might be. For example if you’re in voice tech, like John was just talking about, I could talk through some tips on how you build your brand in that space. I listened to a couple of other talks earlier today, I really resonated with Linda’s talk about finding women role models. That’s something that is very close to me as well, as I am a woman and I was always looking for those role models in my career. But more so, I also have two little girls age five and seven, to whom I hope to be a role model, and I really hope that they find the right role models for them in their careers. So briefly about me, I was born in Tajikistan, that’s something most people probably don’t know about me! I moved to the United States, when I was about nine years old and lived in New York ever since, although I just moved to New Jersey about two months ago. I’ve been living on the East Coast for the past couple of decades. My journey career-wise didn’t really start in the data science and data analytic space, it actually began with a finance degree. I always thought I wanted to do finance, whatever that meant, I didn’t really have a definition for what I wanted to do, but I studied finance and graduated in 2009. And for those who have been around and looking at the news since 2009, you know that we were going through a huge financial crisis. What that led to was a hiring freeze in all of the banks, and my dream job was to work for a bank and do finance – so I kind of had no hope there. But it’s very interesting how life throws you into different directions because it’s all sort of coming full circle right now. What I ended up doing was, instead of applying to jobs that ended up going into a black hole, I started going to events, as many networking events as possible. This was way, way before COVID, so events in-person were still a thing. Now we do this virtually and if you’re attending this live right now, I definitely recommend you engage with the other people that are attending even though you can’t see them. The more you comment, and the more you put yourself out there, the more people are going to be attracted to you and help you build your network. But back in the day, I used to go to events in New York, there were plenty of them and ended up going to some Risk Management Events. There I met a person who was looking to hire somebody in business development and he noticed that I’m social, and so he told me to send him my resume. Long story short, I ended up working for GARP, which stands for Global Association of Risk Professionals. I know that has nothing to do with data, but it was a member organization, it was community-driven. They had events, they had courses, and they had all these other cool things happening like conferences, and my job was to get them clients. Fast forward: I spent the next couple of years working in risk management, focused on learning my stuff there, ended up working in a consulting company for about eight and a half years across a variety of roles. It wasn’t until I was expecting my first child that I decided to make a career switch.
This is where things got really interesting and when I actually fell in love with data, it was thanks to my children, because they motivated me to look for something that provided a bit more flexibility of my personal schedule and my location; I really wanted to work from home which was not a common thing to do. You couldn’t really just go online and find yourself a work from home gig. But after several months of digging and searching, I was able to find something that allowed me to stay home. And because of that, I was able to get into the field of data, because the opportunity that was presented for me included data analytics. At that point, I had no clue what that meant, I didn’t really even use Excel that much! But what happened was, I was given the dataset, I was given that access to Tableau Software, which is this data visualization software for those who are not familiar. I truly fell in love with all things data. This was around 2013-14. Ever since then, I’m still equally as passionate about the space as I was in those early days. But my journey didn’t really stay with that company, because I also had this knack for entrepreneurship, I really wanted to start my own company.
Fast forward to March 2020, at the height of the global pandemic, I decided to go off on my own. Because that’s what people do, right, we like to take risks, we like to have fun with it. At this point I can easily say that that was one of the best decisions I’ve personally ever made. It led to me being even more flexible with my career, with my time; I’m able to set my own schedule, set my own hours, choose my own clients.
All of that happened because I built the right brand on social media platforms. In the few minutes that we have left here together, I want to share some of my best practices, my tips and tricks on how to build your own brand. If you’re watching this either live or if you’re watching the recording, chances are you’re interested in something to do with AI or ethics or diversity; you’re interested in these topics. What Shilpi’s doing a great job with is bringing this community together – and she did a great job presenting at my DATAcated conference two weeks ago as well. All of that drives to building her brand, right? When I think of Shilpi, now I think of AI, ethics and diversity. So whenever an opportunity arises, that requires me to either go to an expert, or somebody asks, ‘Hey, who do you know in this space?’ – immediately, Shilpi would come to mind, because she speaks at conferences, she puts these events together. So she’s doing things right. Now, a lot of people have these aspirations of: ‘I’m going to start posting online’ – let’s say LinkedIn – ‘LinkedIn is one of my favorite platforms because it’s very professional; people tend to be very professional on this platform.’ But chances are, you’re going to leave the talk, and you’re not going to post anything, especially if you’ve never posted before. And that is mainly because of fear, even if we don’t call it that. We can call it lack of time, we can say, ‘oh, I don’t really think it’s important.’ But ultimately, I think it does come down to a fear of being seen by those who you know – what if your brother sees you posting, or your colleagues see you posting, what are they going to think? Other times, we have this fear that we’ll post something and nobody will see it – what if my post is so unpopular that nobody sees it? That was definitely me, at the beginning in 2014, when I was getting into data; that was also the same time that I was being more active on social media. I made a conscious decision to just put myself out there, because we do just have one life to live, right?
For me, it was an easier decision to start small with a text post, so I wasn’t really big on camera, I was very shy. For a talk like this. I would normally prepare a script and I would try to read it, which those of you who have heard scripted talks before will know are not as engaging, not as exciting. You can tell that the presenter is not fully there, not fully present. So I decided to improve on that, and the only way I found in terms of getting yourself to improve is to just put yourself out there continuously. Now, if this is something that’s interesting for you, a few tips I’ll say is, number one: be authentic. Be yourself and talk about the stuff that you want to be recognized for. For example, when people think of data analytics, data visualization, data storytelling, I want them to think of Kate, I want them to think of DATAcated, so most of my content that I put out there is all around that same topic. That doesn’t mean you can’t go away from that topic once in a while, but I’d say about 80-90% of the content you put out on social media should be on the topic that you want to be recognized for. Consistency is a second big part where you need to show up. I don’t mean showing up at 9am every single day and post some robotic message. No, I mean sporadically showing up, treating the social media platform like you would a close friend, somebody you would just call up once in a while and say: ‘hey, guess what just happened’, right? ‘I got this opportunity’, or, ‘Hey, I’m stuck with this problem’. Treating the social media platform as a friend really, really helped me. I actually ended up making friends on the platform because I treated it as a friend. So for example, at some point, I had an actual data problem where I needed to collate about 100 different spreadsheets into one. I could have Googled how to do this quickly, and what’s the best tool, but I decided to just put it quickly on LinkedIn. Now, the thing with humans, we generally love to help. So if there’s something that somebody knows really, really well, and you have this question, and they know they can help you, and it doesn’t take too much of their time, chances are, they’re going to come in and tell you: ‘Oh, well, this is how I did it. Let me help you quickly’. So that post got, I don’t know, 1000s of comments of people telling me the various ways that you can collate spreadsheets; I actually learned about a lot of tools I didn’t know existed, ended up solving a problem for myself. So I’d definitely recommend putting yourself out there, starting today.
12:21 Shilpi Agarwal:
I know I’m interrupting, but Kate your story is so fascinating, thank you for sharing so many tips. On social media, sometimes I am authentic and I post a lot, but sometimes I look at your posts, and I feel like you really put yourself out there and you really share so much of your personal as well as professional life. You ask for opinions on everything, which is great. But like you said, it’s not easy to put yourself out there all the time, to ask questions, and be okay to fail. That’s one thing I’m learning from you, Kate.
13:14 Kate Strachnyi:
Thank you so much Shilpi, that’s very kind of you. You make a really good point about sharing your journey; a lot of times when I tell people ‘hey, you can get started on LinkedIn today’, one of the main things they come back with is ‘well, I don’t know what to say’, or ‘I don’t think I’m good enough’. They just have this sense that their story, their journey isn’t as important as, let’s say, somebody who has 20 years of experience, and is an expert in the field. My opinion is, and I think this is very accurate, is that that’s not true; people care about your story. Let’s say you’re a student, or you just graduated college, and you’re in this space where you’re interviewing for jobs, or you’ve just started a job; there are so many people that are in the same boat as you that would love to hear your journey. Not everybody wants to hear about the biggest success story of somebody who had everything go right for them, and they’re multibillionaires on boats somewhere, riding around never having to work again. A lot of times people want to know that, ‘wow, this person is like me. This person also has fears and struggles, and if they can do it, maybe I can do it’. If I leave you with anything today, I think if you’re wanting to start building a brand, it’s authenticity, being consistent, and starting today. There’s nothing that stops you from doing it, right? Doesn’t mean you have to post every day; consistency really means just showing up and caring about the content. So Shilpi had a good point when she said I post a lot of things and ask people for opinions. I never post something just to post something; when I post something I truly care about the feedback. So when I ask a question about, for example, which logo should I use for the DATAcated circle, which is this new community thing I’m launching next week, I actually care because I’m, a team of one. I just hired a couple of people to help me out, but I don’t have a huge team of people who I can ask ‘hey, what do you guys think about this versus this’, I have to rely on this community to get their input. And if my work that I’m focused on serves the community, I might as well bring them on that journey with me and get their input along the way. So Shilpi, if you’ve got questions, I’m happy to take them.
15:43 Shilpi Agarwal:
Yes, Girish says “I like Shilpi’s statement, ‘it’s okay to fail’, and love Kate’s approach of using social media as a platform or path to connect with others. Ask for advice, tell stories and learn”, and you do a fantastic job at that, Kate.
16:02 Kate Strachnyi:
Yeah, I think of LinkedIn as my personal diary, where people can also, you know, give me their feedback on that as well.
16:14 Shilpi Agarwal:
Muniesh says: “Wonderful reflections, you are an amazing mentor.” So I know we wanted to connect on the community thing, so we’ll connect right after this is over. I heard that you’re already launching it next week. I’m eager to hear, what platform did you finally narrow it down to?
16:34 Kate Strachnyi:
Yes, I finally narrowed it down, and that was another question I asked the community. I ended up going with Circle. It was very interesting because I’m calling my community ‘The DATAcated Circle’, and interestingly, I came up with that name before I ever discovered the platform called Circle! I’m very excited about that, we have about 55 members in there now. They’re our founding members, but we’ll open it up to the broader community.
17:04 Shilpi Agarwal:
Please do let us know, we’ll share it in our community as well. One of my other friends from Growth Blazers, a community vessel, has also used Circle to build his community. That’s how I just learned about this brand new platform, like a month ago. I’ve heard great things, so it’ll be awesome. So what made you think that you need an actual community? I know, there is LinkedIn and all of that, but what made you realize you needed more of an inner circle?
17:41 Kate Strachnyi:
Yeah, that’s a great question. You said inner circle, there’s going to be something that comes out a few months later that I am calling ‘the inner circle’! You mentioned in the beginning I have this DATAcated Academy where I have courses, and then I have my email list, and then I have all these social media platforms. I don’t have as much control in terms of what my community sees, or things that I think are a priority. And I also wanted to make sure that I serve the community and really talk about the topics that they care about, so what I decided to do was bring all of that altogether. Even the course content is all going to sit on Circle. That’s going to be a premium membership where you can pay an annual fee and then be in that inner circle where you get to see all the content, whereas you know, the broader, wider circle can still have all those engaging conversations.
18:34 Shilpi Agarwal:
Yeah, that was exactly the reason why we chose the Mighty Networks platform for DataEthics4All. You can have groups, private groups, public groups, secret groups, you can have the Data Institute there, we have the courses there. It’s an all in one platform for all our community members, premium, freemium, everything’s there. I’m so looking forward to your community, and good luck with your marathon! All the best for Circle, DATAcated Circle, and whatever is in store for DATAcated next.
20:32 Kate Strachnyi:
Thank you so much! Bye.
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``I always say that ethics has to start from the top down.``
- Shilpi Agarwal
“When they [Whatsapp] talk about end-to-end encryption you feel so secure, but the security level is as pathetic as one of us using the same password on different accounts”
– Susanna Raj
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Talk Summary
In this Panel discussion members of the DataEthics4All Leadership team discuss Corporate Ethics and the Role of Whistleblowers in organizations in light of the recent WSJ leak from former Facebook product manager Frances Haugen on the harms it has caused and ignored.
0:01 Sam Wigglesworth:
Welcome to our first panel of the day, my first panel and the team’s first panel on corporate ethics; we’re going to be looking at the role of whistleblowers. I’m going to be moderating, I’m Sam and we have our panel which is our amazing leadership team; Kevin Dias is here, as is Bruce Hoffman and Susanna Raj. Really looking forward to it! The main discussion point today is the recent news about Frances Haugen’s report and testimony to Congress about her experience at Facebook and the interviews that she’s had with media outlets, and what our thoughts are on on the points that she raised. So, as a starter question to the panel: when just a few days ago we couldn’t access our Whatsapp chat, we couldn’t get on Instagram, we couldn’t update our Facebook profiles – we had a few hours out of social media; how did you feel when that happened?
1:30 Bruce Hoffman:
It’s kind of funny because in my case I would say it’s probably good for everyone to have a rest from social media, any possible time that can actually happen, but at the same time in thinking about that and listening to what’s been said, you realize it’s not just a rest from social media but it’s a break from people being able to do business; a break from people being able to communicate, because of all the dependencies on the platforms that Facebook owns. I think it was 2.8 billion people that are actually communicating across the multitude of platforms that went down. So that being down just made it feel like there’s too much all in one place and it’s almost a risk to world communications to have that be at a company level rather than some ownership beyond it, so it’s an interesting challenge that that we’ve put ourselves in, and then of course hearing about it, it almost feels kind of crazy that it’s that big and that much impact could really occur. Personally I didn’t even realize it was going on until somebody on the panel shared it with me, because I wasn’t on at that point!
2:54 Sam Wigglesworth:
Yeah, that’s a great point – we rely on it so much, it’s a significant number of people, it’s global and it affects us all. What are your thoughts then Kevin or Susanna? Are you happy with the fact that you didn’t necessarily have to access social media for a few hours or do you rely on it, for business for example?
3:17 Susanna Raj:
I don’t rely on it for business, but I realized how many of my family and friends that are from my native land (India) are using Whatsapp to connect with me, not my traditional phone number because that has an international cost, so they were all using Whatsapp and then to see that they’re not able to reach me and I was not able to reach them – I just realized how much I was relying on this free service without thinking that that could be hacked away from me! Maybe I am the product now – whenever something is free they say you are the product they are selling, so I just realized: okay, now I need to have a backup plan, something that is paid so that I know I can access it. And also to realize how insecure the whole process behind the scenes was when I was reading the stories; even though I could not understand the technical terminology used I still could see that it was so incompetent; that really shocked me. When they talk about end-to-end encryptions you feel so secure, but the security level is as pathetic as me using the same password on different accounts; they were doing the same thing at a different level. So that also made me feel less trusting of those mediums that I’m now using, especially Whatsapp. I did not even know Instagram or Facebook were down because I’m not even on those platforms, but I realized Whatsapp was down, and that’s what made me go and look at the news to see what was going on.
5:16 Kevin Dias:
I think if I could add to what was already said: we’ve put ourselves in this place where we’re so reliant on Whatsapp. I think it’s funny, Bruce’s dog (barking in the background) echoes all the sentiment of my extended family also back in India on that day for those five hours; I think everyone there uses Whatsapp, some of them use Facebook, not too many use Instagram. When this happened they had no way of reaching out to me, and we reach out to each other every day and there was a huge panic; they were like ‘what’s going on, is the internet down?’ That was a funny comment that my mom made – ‘is the internet down’, because that’s all they do on the internet, it’s just Whatsapp and Facebook. I remember a few months ago, I had actually tried to get them on other instant messaging apps like Telegram, and another comment now comes to mind that my mom and dad had made then: ‘do you really need another app, isn’t Whatsapp enough? It’s amazing, it’s so easy to use’ – all those kind of things, and now that I think about that, I’m realizing that Facebook has made it so attractive from a user experience perspective. Not a lot of people are willing to make the leap to change to a different app of any sort, and we all know that there are different instant messaging apps that are out there but most people prefer Facebook and Whatsapp.
7:01 Sam Wigglesworth:
Yeah, definitely. We do rely on it as chat tool and also for sharing images and audio, particularly in a country like India where there’s almost a dependence on it. There are alternatives out there too, but sometimes we rely on one application, one platform that potentially puts us at risk of not being able to communicate with our family and friends, if you’re able to just turn the power off and then globally not talk to close family members. Definitely worth thinking about for the future. The other thing we were discussing as well, that Frances Haugen brought up, was safeguarding and the importance of making sure, particularly with Instagram, that we look after our privacy rights and consider the harm of platforms like Instagram on young people. Do you think that there’s an issue at the moment with platforms like Facebook and Instagram, and is it having an impact on young people, particularly young girls and their health, or do you think that it’s okay for them to use it as frequently sometimes as they do; what’s your view?
8:29 Bruce Hoffman:
I think it’s pretty clear that everything that we hear, read, see and study shows that there’s an impact; things have started. I mean it was a lot more Facebook originally with shaming and people committing suicide as a result; there’s been quite a few studies on the dependency. It’s kind of interesting, going back to the previous piece of the conversation, if we go back in time we didn’t have this dependency; if you couldn’t communicate for five hours, that wouldn’t have been a surprise. You might have said: ‘hey, I could communicate within a day’; it’s that dependency on things being instant that has changed the entire generation, and you’re right, everybody’s expecting instant feedback. If you don’t get positive feedback and you’ve created this dependency that’s really occurred on social media across the board, people begin to feel real pain – it’s psychological; there’s mental health issues that have cropped up and are getting significantly worse, and it’s just odd that society has created such a dependence on this. We’ll talk tomorrow a little bit about Covid, but it’s only increased our dependency on this connection. I like what Kevin said a moment ago – ‘is the internet down’, right? It’s like the internet is now water to us – it’s the same as air, electricity, food; the internet is the next piece of that, we can’t do without it, and it can cause a lot of pain from people just thumbs downing or creating negativity around what we post. I’ll let others speak about it, but I know it’s a pretty common theme that we hear.
10:26 Susanna Raj:
I think what struck me from Frances Haugen’s interview and also from reading her brief on the documents that she released to the public is that Facebook was putting profits over the public good, what was good for the company was not good for the public, so it was not even aligned properly. Building on conflict is their entire business model, so there was no way for them to get around it; even though they had a civic integrity panel put in before the elections. They removed the panel once the elections were over, and were like ‘okay, the election went fine, let’s dismantle this panel now, we are okay’ – and then January 6th happened and they were like ‘oh no, it was not okay’. But they just didn’t realize – what they were doing was optimizing for engagement; by naturally optimizing for engagement they were optimizing for hatred and optimizing for negativity and also for anti-democratic forces. What are your thoughts on having a business model that is diametrically opposed to the public good?
12:27 Shilpi Agarwal:
I know I’m not on the panel, but I think this is such an interesting question! I think that how the corporate board is designed is why they have incentivized profit; to the point that even if you want to put ethics at the forefront, sometimes it is hard. I don’t justify whatever is happening with Facebook, and now they are a very big company and they can do whatever they want, but imagine something similar happening to a smaller startup. That starts with the design and the senior leadership; I always say that ethics has to start from the top down, it can’t go from the bottom up. But if the company doesn’t make profit, it’s a cycle – you don’t get to the second round of funding or the third round of funding unless you show that you’re making profits. Not necessarily that you have to incentivize profits over the user, but this whole funding mechanism works that way. All I’m saying is that you have to put in a conscious effort to make that decision, draw that line, and be ready to walk away from the next round of funding to stick to your ethical principles. It’s not going to be easy but somebody has to do it.
14:14 Bruce Hoffman:
The only thing I was going to say in there was on sensationalism – if we go back to the comments I was making to the team, if you were to watch the news, 95% of it is sensationalism and showing all the negativity. What started before this is only continuing; and Susanna you made a really good point to me, that it has only become worse because now people are interacting with it directly where before they really couldn’t do that with the news. It’s almost like Facebook and any others just took what the world was really asking for, and just made it worse. Just saying: ‘you really now can access, instantly, all this information, now react to it and put your own spin to it.’ You can have viral stuff that’s fun, but boy, you can have viral stuff that just has incredible negativity. It seems like it should be their responsibility to do something about it. I think that gets back to something said at the beginning about whether regulation is coming, and will it help? Or is it always just going to be too late and not enough?
15:34 Shilpi Agarwal:
Regulation is a very low bar. To your point, has someone seen the Apple News series on the morning show? It’s exactly what Bruce talked about – all the media people always say they only tell what the audience wants to hear, they only make films that the audience wants to see, they only bring out the role models in society that the society believes in or wants to see at that time. It’s true and not so true, because if media people don’t do their job with bringing things that people are not ready for, how will people ever be ready for the right thing?
16:26 Susanna Raj:
It was really telling that in response to all this backlash, the policy director of communications at Facebook; this was her official response, she actually said: “solutions have not yet been found by anyone, so if you know of any company that has found a solution to us, let us know.” I mean, seriously?! What do you guys think, have solutions not been found yet to this problem?
17:05 Bruce Hoffman:
It sure seems like there are!
17:06 Kevin Diaz:
Companies just need to think about it a little bit more, rather than just saying that there won’t be a solution or that it’s impossible, that kind of thing. To Shilpi’s point as well, ethics starts from the top down, I feel like in the future once C-suite level executives start appreciating people more than their profit margins – easier said than done, because ethics is opposite to their business goals – that’s the direction we need to head towards. Looking at people as people rather than just numbers. Again, it’s easier said than done, but if we have that mindset I think we can come up with solutions towards this.
18:02 Sam Wigglesworth:
I think you’re right, it’s a really good point. I think it’s about making C-suite executives a little bit more accountable, building a bit more transparency within organizations and knowing what’s happening if you’re building a piece of technology that could potentially change the world and benefit people. It’s about putting the user first. We need to know what’s happening, how our data is being used, how the algorithm works within a particular application that’s been developed, and truly understand, to build that transparency and trust. We need that guidance as well, companies need guidance and those frameworks as well to support them.
18:56 Bruce Hoffman:
We keep hearing about all these new services that are are also free that actually protect your privacy, but the other things have become so big, how how do you even really make a change? It almost feels like it’s such a small place – I mean, you’re right, I think we can all agree that change is needed. That’s an easy thing to say; making it happen is difficult. What we’re here for is to try to help; all of our voices I think have some some good agreement there, but all we can do is continue to push.
19:37 Sam Wigglesworth:
I think Frances Haugen also said that social media can be used for good, and we need to focus on that – positive AI and social media for the future. How we can create that trust is also important, carrying on with that message as well. It can be used for good and we don’t want to turn away from it. It connects billions of people across the world and we rely on it.
20:17 Susanna Raj:
So that brings us to the question of moderation: how to moderate content, how to moderate opinions that you don’t necessarily disagree with. While somebody is behind the scenes, moderating the content of Facebook, they have to look at the freedom of speech of both parties and see which ones should they moderate and which one becomes hate speech – where do you draw the line? Those are the kind of questions that we need to ask ourselves also, when we post content and comments – it’s our freedom of speech, but then how far should it go, where are the boundaries? What does everyone think on that?
21:00 Kevin Diaz:
I remember studying this and I know that the conclusion of some of the research that I’ve read is that the human brain is just naturally attracted to divisiveness. I think Facebook realized this early on, and obviously it’s not the best thing to leverage or take advantage of, but they did. That’s why when you see the comment sections it’s usually more than just comments, they’re arguments, most of the time. I think another realization that Facebook had early on is that a lot of engagement with or consumption of the content itself happens in the comment section. A lot of people prefer finding their information from the comment section versus the actual content that was posted, just to maybe validate what was posted or find out more information, get reviews and opinions on it. All of that combined, I think Facebook is just leveraging people’s emotions that way, the brain’s natural inclination towards divisiveness.
22:13 Susanna Raj:
We are socially motivated – if you share something like a news article with me, and then you post a one- or two-liner, I’m more interested in what you said than content itself. When we are socially connected with each other we trust the person who has sent that content to us more than the content itself, and we don’t bother reading it and seeing whether it actually agrees with our opinions. I won’t say that Facebook did not know the comments section would be their most engaging, profit-making section – they do know that, and that’s why most of their algorithm works behind the scenes on the comment section, not just on the post. They do know; they did have psychologists there to manipulate us, but I wish they would have psychologists on board to manipulate us in the other direction as well.
23:19 Sam Wigglesworth:
It’s a good point, we don’t want to be dividing and going against free speech or democracy, but I think the amplification of negativity is something that needs to be looked at. We need to continue having that debate on how we move forward with that to get the balance right.
23:45 Bruce Hoffman:
At least amplify positivity also.
23:48 Sam Wigglesworth:
Yeah definitely. More transparency definitely, a more positive future and starting from top down as Shilpi said. Do you have any other comments to make about what was raised? Frances covered quite a lot but do you feel that, for example, we can move forward and still use these tools for good and do you think we’re going to be moving forward towards greater data privacy and protection? What are your views on the future in terms of social media and some of the risks?
24:45 Kevin Diaz:
I wanted to also address, because I know we talked about it, mental health – rather we mentioned it, but we didn’t unpack it enough, we spoke about it particularly in the context of the younger generation. Besides the whole community aspect of Facebook, there’s also these features and tools within it that we should also acknowledge, such as the use of filters. From a content creation standpoint, I think when we talk about mental health, filters also need moderation; I know we talked about moderation of comments and discussions, but filters as well need moderation, or curating at least, because as we know our filters create this superficial sense of beauty or attractiveness, and that spirals into most of the mental health challenges that we face these days. Thinking about things like these specific tools and features as well is important. I know that the community aspect, the instant messaging aspect is also important but I think these features will become more relevant in the future as well. To the point that was addressed earlier about taking all of these negative challenges and finding the good in them, filters have been used for good – for example virtual shopping. Maybe explore that a little bit more, versus the way it has been used negatively or in a more addictive, toxic angle so far.
26:44 Susanna Raj:
I think we do have some questions as well, right – so maybe we should take those?
26:51 Sam Wigglesworth:
Yeah, let’s do that. Alberto says: ‘if this is an internal effort, should we not be bringing third parties on board to help find solutions?’ What do we think?
27:14 Susanna Raj:
That’s always the question of internal versus external audits. I don’t think it’s gonna work unless it’s internal. In countries like the United States we have traffic lights and traffic signals, and everyone follows it even in the middle of the night when there are no cars on the road; you will instinctively stop at the red light even though there is nobody there – that has to come from inside; so it is it has to be internal first and external next. That is my opinion: external rules can be there but people might not comply with it, everybody from the top to the bottom has to internally feel it, and it has to be applied in that realm where you will do the right thing even if nobody’s watching you.
28:06 Bruce Hoffman:
That’s right, it’s a cultural change that we would hope happens across the board, although we know that when we look at the world there’s so much hate and challenge, that it’s hard to see the cultural change actually occur. Who decides? I think the people decide to actually do things differently – it can’t be forced, and the corporations tend to just take advantage of whatever they can until they’re really pushed to do something different.
28:41 Shilpi Agarwal:
Yeah, and I think that’s why organizations like DataEthics4All have an important role to play. What do you guys think about that?
28:52 Kevin Diaz:
Yeah a third party could be us or an organization like us, but I think the comment also asks whether this third-party resource should be brought on board to help find a solution, but I think the question really is: even if there are solutions, will the company implement it? Because for them it’s more of a question of the profit of that solution. With solutions also comes testing, and just that experiment phase of it can cost the business millions of dollars, depending on the business – if we’re talking about Facebook still – and I think Facebook or companies like Facebook would just be hesitant to put in that work. But still, there’s definitely good that can come out of suggesting these solutions, and hopefully Facebook does take that leap of faith and try out some of these good solutions that are out there.
29:50 Shilpi Agarwal:
It’s all about cultural things like those we touched upon. We have to draw a fine line; we have to walk this very difficult line where we have to make an ethical choice. It’s like everything in life, right? My parents always said, I’m sure everybody’s parents said the same thing, that whenever life gives you a fork in the road, you can take the easy path that seems to be shorter and easier right now, that is not doing the right thing but will lead you to greater success in the short run. But the longer path – the righteous path – may take you longer to get there, but it is the right way to get there. I think on that note, thank you my panelists and my leadership team, thank you so much for this wonderful inspiring discussion! I’m sure the discussion will continue – we can’t solve this in one discussion, but it’s the start and very much needed.
AI DIET World 2021 also featured Senior Leaders from Salesforce, Google, CannonDesign and Data Science Central among others.
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“When I am talking to people, I’m like this energy excites me and I get energy by connecting with people, that really makes my day!”
– Shilpi Agarwal
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“Personally, it reminds me of the Auguste Rodin sculpture, ‘The Thinker’ if you have seen that, that’s what an introvert means to me”
– Susanna Raj
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Talk Summary
Do you have team members with diverse personalities? Do you think these differences in personalities lead to differences in job opportunities, career pathways, and growth? Come, Join Us as we discuss this in our Ethics 1st ᵀᴹ LinkedIn Live Talk by the DataEthics4All leadership team.
00:48 Shilpi: Hello everyone LinkedIn, Twitter, and YouTube, we are live, DataEthics4All live is back with one more episode of the Ethics 1st live talks where we bring bite-sized talks on Ethics 1st and what it means to be an Ethics 1st leader, what does it mean to bring ethics by design into the workforce, into everything that you’re doing whether it is a product whether it’s service, whether you’re building a solution, whatever role you are in – what does it mean to be an Ethics 1st leader, and joining me today on this talk, a very interesting talk we have in store for you today and joining me are my fellow leaders from the DataEthics4All leadership team and I’m going to quickly introduce each one of you and here’s Susanna, hi, Susanna you want to give a quick introduction?
01:46 Susanna: I am part of the leadership council awesome leadership counselor at Dataethics4all all and by my work definition I am a cognitive science AI ethics researcher, an artist, and a writer so I want to say all of that because today’s topic is about AI
02:04 Shilpi: Yes yes absolutely, Sam?
02:05 Sam: Good evening everyone, I’m also a part of the leadership council and leadership team, I’m a teacher by profession I have a background in data management, data analytics as well and I’m really looking forward to learning about how we can work together as introverts and extroverts in a diverse environment
02:07 Shilpi: Yeah very interesting conversation today, Kevin you want to introduce yourself?
02:10 Kevin: Yeah hey everyone I’m Kevin Diaz, I’m also part of the leadership council, my professional background is in analytics in advertising, and maybe by that you can tell whether I’m an introvert or extrovert, my educational background is actually in mechanical engineering how about now?! [Laughter]
03:05 Shilpi: Well I’m now to stop that Kevin, so I mean being an engineer doesn’t mean that you are an introvert, so I didn’t give a little bit of my background, but because it’s about you know team dynamics and our backgrounds as well as personalities and what role we should be choosing,
Shilpi: I’ll say a little bit about myself as well, so I have studied engineering believe it or not I’m an engineer did a master’s in design, visual communication and then practiced photographyas a professional photographer, did my first entrepreneur start-up as a professional photographer, videographer as well as a collage maker
Shilpi: and I did a lot of design consulting as a graphic designer, practiced 20 years of consulting as a marketer, worked as a marketer for big and small firms
Shilpi: I have taught at Stanford and Berkeley as a professional, adjunct instructor in Business and Marketing and then I have been a mentor to Nasdaq and the MIT 100k launch as well as a few other start-up accelerators all across the globe and then founder of DataEthics4All
Shilpi: and to have found you guys with the team!
04:50 Susanna: Oh, we are having some trouble with LinkedIn, should we come back again or do you start?
04:53 Shilpi: It says [Music] it says we are Live but it’s giving me that we are having trouble streaming to LinkedIn this may be an issue on Linkedin’s end we’ll keep trying, please check LinkedIn to ensure the stream looks okay can one of us?
05:12 Shilpi: Yeah all right no worries we are doing this Live and if this doesn’t work then we will have the recording and we’ll upload the recording so we’ll keep going so there you have it just among us
Shilpi: the leadership council or leadership team at DataEthics4All, now DataEthics4All foundation, we have such diversity in you know our thought process where we come from our educational backgrounds our geographic locations, our ages, where we are to today in life you know there’s just so many we bring everything to the table
Shilpi: and that’s the fun discussion that we want to have today about how personality and diversity and personality play a role in the workforce and whether one personality is better than the other in terms of opportunities for career growth, so let’s jump right in this is very exciting, so let me start with the first very basic question, I think most people in the world understand that probably there are many more archetypes but
Shilpi: people understand that there are mainly two big buckets of types of people, one is the introverts and the other is the extroverts, and all the other 16 personality archetypes or whatever how many there may be, they’re always different types of Briggs Meyers whatever, that maybe they bring up very different types of archetypes but two big buckets
Shilpi: What does each of them mean to you, Sam?
06:52 Sam: Yeah I think I’ve been looking at a lot of different resources over the past few hours and a few days and I think for me an extrovert is someone that is confident and approachable and open as well, to new things and I think I feel, as I’ve reflected on obviously both types
Sam: it also is about being you know comfortable in unusual situations or unknown situations and I think, yeah I think they’re the types of key kind of key characteristics I would associate with an extrovert
Sam: I don’t know about you guys and I’d say for an introvert it’s someone that is reflective, looks inwards for peace and guidance, and someone that is quite quiet, and maybe quite shy but again they’re the things that you think about when you look at you know yourself and other individuals, you know, so yeah I think they’re the two types of kind of descriptions I give for both yeah.
08:01 Shilpi: So okay thank you, Sam, Susanna do you want to add to that?
08:08 Susanna: What does it mean to me personally, I’m, I without looking at you know all the documentation and all the research, talking about me
Susanna: personally it reminds me of the Auguste Rodin sculpture, ‘The Thinker’, if you have seen that, that’s what an introvert means to me, it’s like somebody who just sits by himself and is thinking, always lost in deep thought
08:35 Shilpi: That is by him right which one is the Stanford sculpture garden, yes?
08:40 Susanna: Yeah yes that’s the one, that’s the most famous I think one of his most famous cultures, everyone knows he’s looking like this it’s not like. There are not 10 people around him standing around him or you know holding up their hands, you know hugging and taking a selfie or nothing of that sort, to me that’s the other end
Susanna: for me that is was introvert means somebody who’s more lost in deep thought and who likes to contribute at a deeper level, than just jumping in on everything so that’s what it means to me.
09:14 Shilpi: Okay so you just, you’re saying extroverts just jump in on everything,
09:19 Susanna: Yes totally
09:23 Shilpi: Okay, Kevin?
09:25 Kevin: I actually, I love that analogy because I remember once telling someone you know about what made me choose analytics and like I just tell myself that analytics chose me, I think to myself that a synonym of analyze is overthinking, oh, that’s what I like to do in my free time so obviously I’m going to do it between nine to five as well, and do it well, but yeah obviously overthink and analyze are applied in different contexts but at the very basic level they’re almost similar, and well if you ask me what’s the difference between an introvert and extrovert, an extrovert I would picture a party, an indoor party and you know-how like you have the center and you have the outsides like the walls
Kevin: I would say that the extroverts will be closer to the center and the introverts would be closer to the walls, that’s something that I can visualize when I think about the difference
10:29 Shilpi: Yeah very nice, like you all defined introverts and extra extroverts in your own very unique ways, and yeah very true, I mean I don’t know if it is true or not but basically yeah the way the world perceives extroverts is like yeah they’re always like high energy, like I could be probably be classified as an extrovert, where you know I feel like if the whole day I’m sitting by myself and there are no meetings or if I don’t meet anyone then by the end of the day I’m a little sad
Shilpi: I’m I feel like oh it’s not enough I’m not really happy but when I’m talking to people I’m like this energy excites me and I get energy by connecting with people and that really makes my day
Shilpi: like okay if I just had a chat with even my gardener if nothing else, I’ll go out and chat with my gardener, my neighbor or somebody walking on this street and that’ll be like okay something, my day is made I’ll come back energized and I will get on to the next thing, so I kind of understand you know textbook definitions as well as how different people work in different ways and how they get energy from different people, so I just classified myself how do you see each of you like, Kevin also kind of led to that but maybe Susanna and Sam, how do you see yourself on the spectrum, I know somewhere I read that it’s a big spectrum, and it’s not like you are it’s not black or white, but most people classify themselves as one more than the other, but then there is always a range, so where do you see yourself on that spectrum?
12:26 Susanna: I think whether it’s on Facebook or you know on Medium or somewhere I put myself as a high functioning introvert that is my official title, I’m sure it’s still there somewhere you know that’s I fall on the high functioning level of introverts but the low functioning is the people who it’s actually the statue itself you know, somewhere in a forest they know another statueoriented statue put somewhere, in a place, like with nobody, like I don’t want anyone around, but not everyone falls into that neatly into that so what does high functioning introvert mean that’s a new term for me?
13:07 Susanna: High functioning, low functioning means you know high functioning means somebody who is an introvert but will manage to survive in an extrovert’s world
Susanna: you know we’ll come to meetings we’ll show up and we’ll talk and we’ll and be you know engaging will engage in conversations we’ll try out new things, can still do that without damaging themselves mentally and physically but that’s high functioning, but then there are some introverts who if they do that they will be like you know completely burnt out or you know or may even also feel emotionally disturbed at some level, but that is the terminology
13:53 Shilpi: That is very interesting I always thought that even though somebody is an introvert they have good ideas, they just don’t like to lead things like they may not feel comfortable leading a meeting or being a public speaker or being in front of people
Shilpi: but they do have great ideas and they collaborate well and they do things, yes they like me time more than others more than extroverts they like me time they like independent work but they still like to work with people so, yeah I mean
14:25 Susanna: No I don’t, I don’t want to be left alone on an Island or anything, yeah that’s why I’m surprised that why do you add the high functioning? Like aren’t most introverts also like
Shilpi: everybody is high functioning in terms of, yes they function well, that is high functioning right? If we don’t function well then we are not even capable of doing it
14:50 Susanna: It’s terminology borrowed from the autism spectrum, in the autism spectrum a low functioning non-verbal, is at the lower end and then high functioning is that people who are on the autism spectrum, but you know you can’t even tell that they are on the autism spectrum, so that’s it that terminology, it is borrowed from that, that’s why
15:19 Shilpi: So why are we comparing introverts with extroverts?
15:19 Susanna: We are not comparing them, no it’s just the high functioning low functioning is borrowed from that knowledge
15:22 Susanna: Very interesting, what about you Sam, where do you see yourself on the spectrum?
15:26 Sam: Yeah I like the idea that Susanna suggested that she’s a high functioning introvert because I think as someone that has always identified myself as being quite confident and outgoing over the years
Sam: I do feel that there is an element of low functioning extroversion or maybe anxious extroversion and I think I’m in that area. I consider myself an extrovert, I’m quite approachable and confident around new people and, but I do feel like I need time alone to focus and to regroup
Sam: I do get my energy from my students, I miss the interaction I have during term time and actually during even a work meeting, I do need that contact with other people and I need to have those conversations
Sam: yeah and that interaction and that motivates me and although during Covid I’ve experienced some developments in my own skill set, I think I’ve developed that ability to reflect and to sit back and think about and be more, be more focused on what I, you know, I’m doing, as you know on a daily basis, yeah but naturally, I think I go, I’d go towards the extrovert part, but I’ve learned that moment of reflection and peace is quite important in my life right now, yeah it wasn’t
17:08 Shilpi: True even extroverts need to sit back and reflect on what they are doing they can’t be good leaders if they are always like go all the time
Shilpi: they have to come up with strategy and vision and introspection and make sure that their team is with them understands their vision and how to lead them that takes a lot of thought if you can’t just do it without, Kevin why do you think you are an introvert, I understand the analyze and the overanalyzed part but is there anything you want to add more to it?
17:40 Kevin: I personally think that I’m an introvert because I tend to be very conscious of myself and I can say that about different scenarios like I think ever since I started working from home I’ve realized that even more so in a very in an in a weird way, I would say you know what I wanted to ask you guys this question but I think um this is actually the best time to ask it’s kind of random, but yeah
18:06 Shilpi: Yeah, we are live!
18:08 Kevin: When you guys speak you know on a video call and then you’re like you’re in the zone you have a really good, you know train of thought and you’re talking for like a good minute or two, do you and you look at the camera or you look towards the screen do you look at yourself or do you look at the other videos, like the other people, which one do you do more of do you feel because I person let me start, first I personally feel like I spend eighty percent of my time actually is the center of my focus on myself which is a bit weird and I don’t mean this because I’m vain in any way I definitely don’t like looking at myself in the mirror but for some reason, I’m focusing my attention on my own video versus everyone else’s
Kevin: I don’t know why I just find myself very conscious of the way I’m talking, the way my head is positioned or things like that like I’m looking out for those things versus looking at you know all the other wonderful faces on the screen, what are your thoughts on how you feel, find yourself speaking and looking?
19:11 Shilpi: I mean that is a very interesting observation Kevin and um I’m sure I’ll let others speak, I think that just like you said right like it we have been taught like a good orator is somebody who makes eye contact a good orator a good leader or whoever is standing in front of a group of people to be able to connect with their audience you need to make eye contact with as many people as possible if you lock your eye contact with just one person and you only make them feel like you’re doing this whole talk to them than others feel like left out neglected and that’s not a not the best way to deliver a message right
Shilpi: and in live scenarios, I would say that yeah so making eye contact with as many people as possible in the room is the best and so that’s what I try to do when I am on a video call I try to look at everybody else on the video call like more than myself but yes I will look at myself to make sure that you know I’m still in the frame and being okay but I will try to look at and also reading the room right
Shilpi: so basically trying to understand what people, are they bored are they interested? Should I stop here and go to the next or you know basically reading between the lines all those body language?
Shilpi: so I try to do that in person as well as in a video call as much, even though an only a very small portion of the body is visible
20:51 Kevin: An interesting point because, if you think about it on a video call you’re never making eye contact ever, it’s impossible like right now I’m looking at you but it doesn’t look like it and right now I’m looking at me and it looks the exact same right true that is a truly interesting time
21:07 Shilpi: Yeah so probably others will not know that you are looking at me or you’re looking at yourself a good point, but yeah I mean I do, that because I want to see whether you guys are enjoying this conversation or not, or you’re bored and maybe I should keep quiet
21:27 Susanna: Actually, that’s actually good you know I don’t know examples of you know what an introvert an extrovert means because the reason why introverts when we give a public speaking engagement or something, we like to focus on one area just lock eyes or somebody in the front and that’s where we keep our eyes on and we think the rest of the audience won’t notice that is then
Susanna: they say you know actually keep your eyes on the horizon fix on a point on the horizon so that you know it looks like you are looking at everybody those are all tricks we use as an introvert to not feel anxious when talking.
22:04 Susanna: When zoom came along we started looking at ourselves more instead of looking at the other people and actually there was a study that was done that actually found out that introverts were more emotionally drained because of looking at themselves because this is called the mirror effect like you are actually somebody is holding a mirror to your face, this never happens in real life we don’t walk around with the mirror to our face you know looking at ourselves when we talk but our brain, when it is processing that, is you know taxing us more than the extroverts because extroverts don’t bother looking at themselves they want to look at other people and they get their energy from everyone else so they tend to look at other people, so the zoom meetings don’t drain them out as much as it drains out introverts that’s something new today
22:54 Sam: Yeah I know you mean, yeah I don’t tend to focus as much on my zoom video but if I need to focus that helps me, it helps me read again, refocus on what I’m doing, so yeah definitely
23:10 Susanna: There’s a now a hide your view without you know turning off your camera you can hide your view on you so when you do that you don’t spend time looking at yourself which should help you actually but I don’t think it may not help introverts anyway because we are going to be drained out anyway without any
23:30 Susanna: And if you are thinking about how I look or you want to see yourself then hiding from that probably won’t be effective
23:35 Shilpi: Right yeah this is fascinating, very interesting and I also struggle, with so I personally I feel I have never had this conversation openly about being an extrovert or an introvert with other people, even my friends or colleagues, so this is very interesting to me and sometimes I feel like I may think that I’m an extrovert but I have my low point, I shouldn’t say low points but difficult challenges as an extrovert as well. When I go to very large networking meetings, where I don’t know anybody when I do where I don’t walk in with a friend or I’m nobody I know I do feel a little lost like, yes the best strategy, like you know in the book in the playbook is to you just you can join any group and don’t worry about speaking out, just listen and the more you listen and yes I know all the rules like okay networking you don’t, you don’t want to talk about yourself or sell something you know, you want to connect with people and then let them be such an interesting person that they should ask you, like what do you do and you know that give me a business card, that’s like the networking 101, like don’t just go and talk, people don’t like people who talk about themselves so I know all that and that’s why I feel like okay if I’m not going to talk about myself and I’m not going to sell anything and I don’t know anybody and I can’t crack a joke because I don’t even know what’s going on and I just you know, what do you do like where do you put your hands and what do you do and when which group do you go and join and so that sometimes is a challenge, does that happen to any of you?
25:31 Susanna: All the time
25:31 Sam: Yeah I think so, yeah I am if I may, I’ve been in a situation before where I’ve been thinking which group do I speak to, who’s that who should I start having the conversation with you know, do I just listen, observe as you said, Shilpi, I think it’s really important to do that and then maybe then start the conversation after, but introducing yourself can be challenging, breaking the ice, it’s very, it is quite difficult yeah and even in big groups
Sam: I think in a smaller group in a convivial environment it’s quite nice to be able to meet new people but I think in a large group where you have maybe 60 guests yes it can be difficult for me yeah definitely, I move around and make my way but it takes time
28:22 Shilpi: So, do you think that one personality versus the other has an edge in the workplace especially in the work environment towards getting better growth opportunities better positions, rising the corporate ladder is there a difference to like better team positions, getting customer-facing roles will come to roles later but like just in terms of opportunities
Shilpi: do you feel the world favors one type of personality or does the corporate environment favor one versus the other? Ah we can whoever want to jump in can go first
29:07 Susanna: I definitely think it favors the extroverts those who are on the extrovert spectrum, score higher on that they are favored by the world in general by you know corporate promotions and you know leadership roles because automatically they speak up in meetings they lead meetings, they are more engaged they are able to connect with different people, network better you know even if the if everybody has an idea before an introvert even starts to speak, you know that how extrovert will be the one that will jump up and say that idea better or worse the person who first says it is always seen as the one that has come up with it, sometimes even in group presentations the introverts would be very happy to give the presentation opportunity to the extrovert in the room and when you present whatever the project when the entire team all our names would be on it but still
Susanna: the person who presented it would be seen as the one who led the whole thing
26:21 Susanna: Yeah it happens to me you know even in virtual conferences now when in 2020 all the virtual, all the conferences moved to virtual and they had all these new well you can be on the avatar and you can walk around initially when it first came around when I went to one of those conferences first, I did not know that the people who walk towards you they can actually you know to contact you and talk to you and then people were just like Susanna and they started talking
I got really freaked out who are you, how do you know my name? Is moving towards the booths and the walls and I thought okay that’s the safest place there are like you know bush you know images and icons there and then let’s say there was like if it says Ethics 1st LinkedIn live talks, there’s like a board or something even though it’s the only three words, I would stand there forever and as if I am reading the board, and then I left you to know I said you know, I’m going to park myself in near the bush and just you know so that people cannot make contact with me a lot, so at least two-three or four people started joining me near the bush!
27:45 Shilpi: They started talking to you again, they stood near the bush facing the walls, I knew they were interested oh wow this is fascinating, okay so!
27:55 Kevin: I think we should we should identify the difference between an introvert and a creep in this case [Laughter] there is a difference, it’s not the same
28:03 Shilpi: Of course I mean you’re talking about like somebody who’s following you and like that’s a creep versus just moving away and keeping to yourself
28:16 Kevin: There are similarities but it’s not the same
33:26 Kevin: Right I think I think a good example if I’m remembering correctly is Mark Zuckerberg, but correct me if I’m wrong I believe I read somewhere that he’s an introvert yes he is, how weird and awkward was that video? But he’s clearly trying and kudos to him for trying as an introvert you know yeah he’s trying to make eye contact, make it feel and look natural and clear,
Kevin: you could see that it was not that natural for him to speak that much and you know to articulate and that kind of thing, yes I think definitely resonates with him and I can totally understand where he’s coming from
Kevin: but yeah to Susanna’s point you have to kind of do it, certain points in your life and you know that you have to accept it, I think it’s all about moderation so for introverts just to Susana’s point we can’t do it as much as extroverts can but definitely, we it’s okay for us, it’s just it boils down to energy capacity and things like that right so maybe a question for the audience is you know
Kevin: What are the ways we can still as introverts, you know stand head to head or toe to toe with extroverts in terms of public speaking?
Kevin: because now with us you know being more technology-driven there are ways for us to like pre-record presentations and like that’s one idea right you don’t have to be in front of an audience live true and that’s probably what mark Zuckerberg also did, I don’t think even though it was streamed live we don’t know for sure if it actually was live, and there’s a good chance it probably wasn’t so like things like that are ideas we can consider and explore further to help introverts in the realm of public speaking
35:19 Shilpi: That is a good point another thing I’m sorry Susanna did you want to add something to it?
35:25 Susanna: I think you know he is right because in an emotionally safe space you guys are all now publicly speaking on this podium now and it’s reaching millions of people so you know technically we are, we are able to do that whether we are introvert or extrovert when we are around surrounded by friends so in a corporate world
35:47 Susanna: I think that’s what we should aim for
35:48 Sam: Yeah that’s great
35: 49 Shilpi: That’s a very good point so basically, it’s I think we have all established the fact and we all agree to it that public speaking helps us helps anybody who is able to do it and yes at times extroverts also have to step outside their comfort zone
Shilpi: I remember when it when I started a podcast uh several years ago I had never even listened to one and I was not a podcast listener at all and I all of a sudden out of the blue that that’s what I do that’s how I am
Shilpi: I decided to Susanna she laughs at it because she knows that’s what I do all of a sudden, I’ll be let’s do a hackathon, I’ve never attended one I’ve never entered anyone let’s do a hackathon because I feel like it no we should do one so that’s what we do then we then I go back and do all the research so then I did that but it was stepping out of my comfort zone
Shilpi: the point I was trying to make is, yes there are things and we know because doing this will help us, that’s why we take the extra effort to go that extra mile and that’s what I think, what you were all trying to say is, like even though, if somebody is an introvert because they know those opportunities are going to help them because otherwise how will others know that you did this work, or you have ideas and you need to be able to communicate and present to the senior leadership that this is you this is your idea, this is what you want to do, this is how you want to change or start in a new initiative
Shilpi: so yes if that means stepping outside the comfort zone and finding ways maybe pre-recorded as Kevin said is one, from the leadership side
Shilpi: I think maybe we should encourage all personality types to be able to feel comfortable, to be able to share their views freely without being judged
Shilpi: Sometimes like if it’s not their native language it’s not their first language then also they may not feel very comfortable in speaking up publicly or in a team setting and so those I think as a team lead as a senior leader in an organization we need to constantly be aware of the different, different diversity and personality types in our team and encourage people who are not usually very open to coming up like speaking up on their ideas but definitely make sure that they feel heard and they feel that they’re valued and their opinion matters, all right
38:39 Shilpi: So today is national STEAM and STEM day and DataEthics4All now, DataEthics4All foundation and we just started our new STEAM in AI program initiative, so who wants to tell a little bit more about that we’ll just give a little teaser and that will be the conversational topic for next week, so we’ll just give our audience a little teaser on what steam in AI is
39:10 Susanna: My own personal definition of steam in AI is somebody asked me recently are you a woman in STEM, I mean after all the women in tech, women in AI, they are now horrible women in stem, and I was like you know no I am not a woman in STEM,
Susanna: I would rather prefer to be called a woman in STEAM because without arts and without sociology, I don’t see myself in in the realm of science because to me both of them are integrated together
Susanna: so that’s so I would like to announce myself today on this platform as a woman in STEAM, that you already are women and even Kevin is a supporter of even though man, a man but a big supporter of steam in AI because, yeah he is part of this initiative yeah so, Sam and Kevin what would you like to say about our new steam and AI initiative ?
40:10 Sam: Yeah I think we could, following on what Susanna said, it’s actually encompassing our FREE STEM tutoring initiative, which is looking at not just the traditional stem subjects but bringing in sociology and the arts and social sciences and celebrating those and the humanities and how important they are and for you know for our younger generation for us going forward and for our Ethics 1st leaders, yeah and I mean our initiative is really to try and encourage young people to look at both parts of that spectrum if you like and work in, work potentially across all disciplines you know whether it’s in a team or as in a role I think yeah, I think that’s what I would say and there’s a couple of key additional yeah subjects we’ve got, the arts and engineering in there as well yeah and mentoring, yeah outside of STEM, yeah that’s what I would say
41:13 Kevin: I think arts is very important and it’s what brings the human aspect to technology because so far like within STEM there’s no I mean I would say that there’s no human element to it, it’s very science-y, very technology stem but
Kevin: thanks to arts now we’re also engaging advertising in my opinion because… you can apply you know the whole human aspect the most
Kevin: I think ever since we went from studying behavior to influencing and changing behavior over the past decade, arts is very important you know, like to Susana’s point sociology is an important concept to understand and to apply within stem so
41:59 Shilpi: Absolutely yes and that’s why besides the traditional STEAM, which everybody knows is for science, technology engineering mathematics arts, and mathematics we have added our own version of steam just like our DIET our AI Diet we can’t stay away from the double, but we also wanted to bring the linear as well as non-linear careers to STEM that lead to AI now because there’s just so much that can lead to AI careers and it doesn’t have to be a linear STEM or STEAM path, that will get you there
We’ll talk more about what are the non-linear stem careers and things that we have added to our definition of steam in AI, more on that next week stay tuned!
Thanks, everyone for joining us, and thank you, Sam, Susanna, Kevin, very interesting conversation, I learned a thing or two new today I hope our audience did as well and I hope our part of you guys also learned something, and let’s continue the conversation, in the comments please let us know what did you think about our discussion and what are your thoughts on all of this that we discussed today how introverts and extroverts, growth opportunities for them are different in the workplace and how we can improve opportunities of growth for introverts especially because it feels to me like extroverts are going to find their own way and they find opportunities for themselves but introverts need some help so let’s see how and what we can do to help them, thanks everyone take care bye-bye!
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``I do think we are all born with our own biases. We have evolved with our own biases`` - Susanna Raj.
“Are we starting at the wrong place? When we look at only algorithms or you know, mitigation strategies?”
– Susanna Raj
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“New Zealand where I am differs quite strongly from some others from say, the United States in the extent to which enforces protections against violence against women or against LGBT people”
– Professor Michael Witbrock
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Talk Summary
In this Panel discussion Susanna Raj [DataEthics4All Leadership Council]; Professor Michael Witbrock, University of Auckland and Raluca Crisan, CTO & Co-Founder, Etiq AI explore how realistic the mitigation strategies are today when it comes to mitigating Bias in AI.
0:09 Shilpi Agarwal:
Next up, we have a panel discussion that should be a fiery one. Bias in AI is what everybody’s talking about, but how realistic are the mitigation strategies of today? We have a very diverse perspective from the panelists. We have Professor Michael Witbrock from the University of Auckland and Raluca Crisan who is the CTO and co-founder of Etiq AI. Moderated by our very own Leadership Council, Susanna Raj.
1:07 Susanna Raj:
Welcome everyone, thank you for joining me on this panel. Today we are going to discuss bias mitigation strategies that are being used today and how effective they really are. I’m excited to have an academic perspective on this as well as a business perspective from Raluca, the co-founder, and CTO of Etiq AI, and Michael from the University of Auckland. I just want to start this with a very basic question. Because bias means different things to different people who come from different backgrounds, it means it has a totally different meaning for me as a social science researcher – so I want to start with a basic question: what does bias mean to you?
1:59 Michael Witbrock:
I think it means at least two completely different things. And I think this makes it difficult when it’s used. It can just mean the predisposition in data in some systemic or particular way – so the data suggests some sort of action or suggests some categories that cause the system to behave in a particular way, and that that’s built into the way the system is produced. Or it can mean the sort of invidious predispositions that some human beings have which cause them to behave in ways that we would think are undesirable or even evil. These two things are not exactly the same but they are used interchangeably, and not to our benefit.
2:56 Raluca Crisan:
Within the context of my work and the ethical field, bias is one of those things that is easy to recognize when you see but a little bit hard to define in a standardized way. It’s basically an outcome of an automated decision system which is somehow obviously unfair when you think about it. It could be that an overall system performs much worse from an accuracy point of view for a certain group; so it just doesn’t seem to work for that group. That’s something that if we see we say, ‘oh yeah, that’s a problem, that’s unfair’. Or it could be that we have two individuals who are very similar in all aspects we consider important for getting a loan or getting a job, but maybe they’re different genders – something we don’t consider important for that as humans. And then the system comes up with a biased decision – something we recognize as unfair. It’s hard to define but we can recognize it.
4:11 Susanna Raj:
And I do think we are all born with our own biases. We have evolved with our own biases, some of them have protected us, some of them I think we need to get rid of soon – but we are a work in progress, right? But the biases are embedded in our data as well.
4:27 Michael Witbrock:
One of the things which are so very interesting – the source of this debate – is that as we build systems with the data that human beings have produced, they make those biases. Whether they’re good or bad, biases manifest. They allow us to experiment on those biases. I have a little bit of a problem with this use of the word ‘algorithmic bias’ – it’s not that the algorithms have biases. Maybe the people applying the algorithms have biases… alright, it’s at least logically possible that the algorithms have biases based on the way they develop, but that is almost never what we’re talking about. The data that’s been selected is representative of a human group, and possibly all of the humans over some time period. The decisions that these systems make reflect those biases and make it clear to us, for example, that in our literature we are teaching ourselves to have biases that might well be expected to cause humans to discriminate against women, for example. And by having computers do this, we can point the finger at them and say “bad computer!”, knowing, I hope full well, that it means that we’re bad people too.
6:00 Susanna Raj:
I do agree. There’s this interesting debate going on whether the algorithmic bias starts in the algorithm or it starts in the people or it starts in the data. I feel like that’s a chicken and egg discussion that we will continuously have forever. So what do you think Raluca, on that note?
6:24 Raluca Crisan:
For sure, there’s this approach or mindset that it is about the data. And as I said, for sure it’s definitely a big part of the way things get decided and it’s reflecting our biases and so forth. But it can happen across a variety of things; so for instance, as humans, we make some decisions that are biased based on characteristics that are biased; but as an algorithm, I might just be picking up a proxy. So it’s not something that maybe as a human I would ever recognize to be associated with a certain demographic group, but maybe the algorithm somehow recognizes it and part of the algorithm using that feature is that maybe it has some real explanatory power beyond the bias, but part of it is the bias, and then which one is which is a very tricky problem to assess. So yes, it’s the data, for sure, but it’s also maybe the nature of the system that is discovering patterns in the data, and then how we interact with that system and how we try to shape it and control it. If we don’t want it to do certain things, we can affect that.
7:55 Michael Witbrock:
I think the fundamental difference there – when you say that a human being would never consider doing this, you never want to speak too soon on these things, human beings can be quite awful! But to the extent that human beings wouldn’t manifest the negative biases in the data that they’re learning from – to the extent that’s true, it’s because we have access to a kind of data that these systems don’t have; and ironically we have access to a source of inductive bias, which these systems don’t have, and that source is knowledge. Why can we read the same data that GPT-3 reads about suitable jobs for women and men and not reliably produce the same predictions (across many languages) that the engineers will be male and the nurses will be female? The data causes that to happen if you make a naive language. Why do we know better than to exhibit those biases? We know better because we know better; so we have a piece of knowledge that tells us that we should disregard that sort of information in many decisions because it will cause unjust actions. And as we move towards computers having access to that kind of knowledge, I think that the likelihood is that quite soon, we will be less likely to have decisions based on invidious biases from machines than from people. So I think a lot of the problems we’re having at the moment – not all of them but a lot – are very temporary, and they’re because of a weakness in our AI systems, namely the weakness in the inability to use not just data but knowledge.
10:24 Susanna Raj:
I think this follows very well into our next question – if you think it is so complex and so embedded in the data itself, where do you think, as a solutions-finder, while we are working on a solution to solve this problem, where do we start in the development cycle; where do we start in the AI life cycle? Where do we start solving this problem? Are we starting at the wrong place, when we look at only algorithms or mitigation strategies? Or should we actually be starting at the data collection or the idea consumption stage? So where do you think we should start?
11:09 Raluca Crisan:
Definitely as early as possible, but I think it’s better to start somewhere! So I think that would be my first thing, it’s better to start somewhere we can at least make some sort of an impact. But yeah, it’s definitely early in the life cycle, and there are just a few things we’re noticing from what we’re doing. One, it’s not about the metrics; we’re finding metrics not super helpful. It doesn’t seem to be an optimization problem. I think a lot of the literature is heavily around it as an optimization problem, which is natural because this is the world we all live in, but it doesn’t follow that the solution can necessarily be solved in this way. So what we’re seeing that is a little bit more effective is whether it is at the data or pre-data collection stages or at the output stage. It’s around that kind of interpretability layer, surfacing issues, and then the human can interact with those issues, and in a sense, trace them back. But just to give you an example, for instance, when we say a data collection; let’s say you’re a company that targets certain demographic groups, let’s say white males between 35-65 and a certain income bracket in a certain US state. It’s very hard for you to collect data; your whole product is optimized for this demographic. So when we talk about data collection, it can lead the company to start asking uncomfortable questions about what it is they’re actually doing as part of their business model, because if you’re marketing that your product is for this demographic then you will collect a certain kind of data.
13:09 Michael Witbrock:
I think that one of the things that we’re missing is any sort of clear agreement on what these classes of invidious biases are, from the point of view of people who are building decision support systems. We live in a sort of hodgepodge of ideas from different countries. New Zealand, where I am, differs quite strongly from say, the United States in the extent to which it enforces protections against violence against women or against LGBT people. And certainly, New Zealand differs very strongly compared to some other countries. Suppose we’re trying to build a system that identifies, for example, whether these proxies are being used. You could build a system that looks at your data and sees whether the data has features that can be used as proxies for identifying classes, such as likely vaccination status, or self-described gender. Suppose you build a system that was trying to see whether there are things that are used as proxies for that, it would be very useful to know what sort of things we should build in as required checks for proxies. It turns out, based on a probably to be found out to be bogus study, that your astrological sign predicts your vaccination status in the United States. There’s a news story about that today, I hope we find out that that’s not true! It was 46% versus 70%. If it is true, your posterior probability to astrology would be higher, so one assumes that’s not true. Suppose that was true and you can predict birth month from vaccination status, should we build into systems attempts to detect that, attempts to predict month or gender? Only if they can’t predict that using these sorts of proxies should we allow them to go forward. Only by starting to have a discussion about what the industry standards should be for testing these things irrespective of what the particular countries think will we be able to make progress using the techniques that we’ve got available to us at the moment.
16:54 Susanna Raj:
I think proxies by their existence itself actually stand for societal biases. I mean, all our proxies have a bias built-in, and that bias comes from prejudice; and historical discriminations are built into those proxies. I believe that even using a proxy for crime prevention, or anything else, we have to look at the knowledge behind it. How did we come to know this proxy is a good stand-in for that classifier? So to me that that itself is a dangerous zone to go into, but what do you think Raluca? You are actually in the industry itself, working on solving this problem, so I would like to hear your opinion on using proxies and what Michael was saying so far.
17:50 Raluca Crisan:
Obviously, it’s hard to generalize, but I would say that whether intended or not, it does happen that people use this. But of course, a proxy is never just a proxy, so it’s a very gray area. The problem is when people are not even aware; when they’re not really looking at this topic at all. I’d say that’s a starting point of a problem. If they at least have some understanding that their models might impact actual people in negative ways, at least they can start looking at it and treating it with a certain degree of caution. I think even before that there’s a step that needs to be undertaken. I’m not sure if this answers the question, but it’s very hard to regulate, right? First of all, what’s the threshold for it; how would you define it? There are a few ways to calculate basic metrics, just the basic metrics, so it’s very hard to regulate as such because you wouldn’t be able to define it in a standardized way. But if you look at the data, look at the model, look at the outcomes, you can pick up if something is wrong. And you should be looking at this and picking up if it’s wrong, right? So this is I think the dubious area. I’m not sure if I’m right, but if the people that are working on this are starting to look into it a little bit more then they will at least try to manage within their applied use case to make the decision less problematic, so they will say: ‘actually, income is a proxy for financing, it’s a general decision that I’ll use this. But if I show up with a certain brand at a certain time of day, maybe I shouldn’t use this because actually, it’s a proxy for something that maybe can be a demographic group’, right? These are things that happen, like: the example is clearly wrong, but if you don’t even look for it, you’re never going to find them, you think it’s all good.
20:29 Michael Witbrock:
Well, this case with income versus ethnicity or agenda is an interesting case, because they could show up as proxies in both directions, and the reason they’re a proxy is that they’re actually causally related. Right? People of certain ethnicities or certain genders have lower incomes because of discrimination. This isn’t an accident, so one could argue, for example, that by removing the knowledge of the effect of gender on income from your system, you’re likely to be preserving discrimination. This is actually related to the affirmative action question. You’re likely to be perpetrating discrimination by removing the system’s ability to notice that income is dependent on gender and therefore should not be allowed to affect the outcome for somebody. Of course, people have wildly different opinions about this. Their opinion varies wildly depending on which groups they’re members of or are not members of. Who this generation should be mitigated against also varies widely. So it’s much easier just to blame the algorithms.
22:23 Raluca Crisan:
I’m not sure this is at all helpful, but for instance, in some countries, you can’t use the demographic feature in the model itself. The regulator says ‘no’, for sure. So then people are using a proxy for it, but then the problem is then they get counterfactuals. This is what happens; either you have no counterfactuals, but your model is pretty bad for a group, or your model is actually great and you have loads of counterfactuals just moving around and potentially creating issues. How would someone regulate that and solve for it, it still has some question marks.
23:09 Shilpi Agarwal:
We do have some questions. Rakesh Ranjan says: “Bias in data (at least system of records, if not the system of engagement) may represent the state of bias and prejudice in our own society. So I’m interested in learning the panelists’ perspective on if mitigating bias in data would really solve the root cause?”
23:41 Raluca Crisan:
I believe you can. Not completely remove it, but I think we started at the point at which humans are pretty biased, we put these statistics in place to notice that humans are pretty biased, and now we’re like, ‘Oh, let’s fix this, we’ve made the systems more complicated now; it’s there but now we notice it’s reverting back to ‘oh, let’s just let the humans be biased’ – that’s probably not the way to go. There’s potential for this to make a difference for the good overall, maybe.
24:13 Michael Witbrock:
Yeah, I think it can certainly mitigate the root cause, if nothing else, by allowing us to build systems that can point out the causes and the likely effects of human bias as well as bias in the system from human-derived data.
24:41 Susanna Raj:
I know Michael is very much interested in building systems of knowledge as a way of mitigating bias. I would like you to elaborate a little bit on that because that seems to go back into the foundational models of AI and look at whether we can use knowledge as a whole or, as Raluca pointed out, there are proxies. I also wanted to jump in and say that we actually used another proxy for income: marital status and education level as a proxy, but even that led to problems! So, we cannot even start with proxies anymore, but how do you start with knowledge as a database, instead of looking at data?
25:36 Michael Witbrock:
Knowing that something is a proxy for something else, we can therefore try to build casually informed models which mitigate those biases. That’s a kind of knowledge: what goes into these knowledge structures. We have to be able to use these features because we can’t build mitigation systems without them. If you can’t know that your system will use income as a proxy for gender, for example, it’s impossible to mitigate that effect, because you can’t build a causal model which supports the calculation. If you do know that, if you do have that knowledge explicitly, and we can automate that process of building that knowledge into our systems, I think we have a chance of greatly reducing the cost of mitigation. If we’ve got systems that actually use causal inference to find out what things are possible proxies, and turn them into knowledge, then we have the likelihood of being able to build systems that are far better at this than we humans are. And I think that’s a very, very hopeful point of view. And there is a movement at the moment from being data-centric to being data- and knowledge-centric. People have been saying that data is the new oil, and I’d say that that’s exactly right. It’s something that you use a lot when your technology is primitive, but it’s not really all that good for the world. Knowledge-based systems are the new wind and solar and we should move towards them as soon as possible. And particularly, systems that have explicit knowledge about what the right thing to do is.
27:40 Raluca Crisan:
We’d love to see more industry looking at it in a serious way – I mean, people are looking at it in a very serious way, but I mean looking at it more for these purposes. What else… It’s the people that build the system that is super important, not because they’re the only important ones – it’d be great to get the consumers somehow to contribute to this system, but we’re not there yet. People want to build better systems, especially people who build stuff – they want to build better stuff. So it’s not a problem. It’s just a question of getting them some tools like research and so forth, so they can actually do that easily.
28:40 Susanna Raj:
Thank you, thank you, both of you, and I really enjoyed this discussion, especially on ‘data is the new oil’. I think that actually, the answer is in the sentence itself. Like Michael pointed out we are supposed to use them only for a limited period of time until we find something better and that ‘better’ could be a global depository of knowledge; of understanding of cultures and languages and everything together. That is where we need to be moving towards, even though that’s a harder problem. But I think the industry as a whole needs to invest in it and move towards that. With that, I would like to wrap up and give the stage back to Shilpi and thank you both Michael and Raluca for coming on the show.

Susanna Raj, Leadership Team, DataEthics4All

Professor Michael Witbrock, University of Auckland

Raluca Crisan, CTO & Co-Founder, Etiq AI
AI DIET World 2021 also featured Senior Leaders from Salesforce, Google, CannonDesign and Data Science Central among others.
For Media Inquires, Please email us [email protected]
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In this Panel discussion members of the DataEthics4All Leadership team discuss the topics of Vaccine Mandates and the Great Resignation and discuss whether vaccines should be mandated and the impact COVID-19 has had on the jobs market and the decision more and more of us are making to e.g. make that career change, or go it alone as an entrepreneur or start up.
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00:00 Shilpi Agarwal:
And up next is the biggest debate of the century: vaccine mandate and the Great Resignation. We are seeing this so much now. We will hear a great discussion moderated by Kevin, the panelists are Bruce and Sam. I’m looking forward to this discussion, we have had so many of these internal discussions as to which side of this line do you fall – should vaccines be mandated? The great resignation – is that something we should be vouching for; is it something that companies should do, ask for your health care records and violate your privacy rights or is this a one-off exception to that rule? Let’s hear from the panelists, I can’t wait to hear this awesome discussion that you guys have put together – so take it away!
2:17 Kevin Dias
Thanks so much Shilpi, I’m really excited to discuss the Great Resignation and the vaccine mandate. To kick things off, let’s start with the Great Resignation. I did pull up a definition that I got from what I believe is the most credible source, Wikipedia – just joking, if not credible it’s at least interesting! So it says here that ‘the Great Resignation, also known as the Big Quit, is the ongoing trend of employees voluntarily leaving their jobs from spring 2021 to the present, in response to the Covid-19 pandemic.’ I’m curious to know what are your first thoughts or impressions of the great resignation – have you seen it happening in front of you, what are your experiences and what do you know about it so far?
4:26 Sam Wigglesworth:
Great question. I think from what you said, the trend, reading around the topic and what’s happening with people I know in the teaching profession, I think it’s being at home and realizing that we can get a better work-life balance, in particular with women in the workplace. When we went through the initial lockdown, childcare and homeschooling was a big issue and something we had to juggle, and I think that drove parents, women and men, to consider what they wanted; it was time to think about that and reflect on that. There was a lot of pressure initially, and I’m speaking from experience as a teacher; I was teaching online and parents were trying to juggle not only childcare but also teaching, so it was a lot. I think that’s for me one of the factors to consider that really pushed people to think about what they wanted from their jobs.
5:54 Bruce Hoffman:
Yeah, I think there’s a lot of it going on, especially in the service industries. I’m living in a small town in the mountains and half the businesses are having trouble staying open because they can’t hire people. You see it everywhere; businesses offering $500, $1000 or whatever to try to bring people on to be cooks or waiters or whatever the role might be. People have really reevaluated, especially early on with all the pandemic assistance that was being given they’re like: ‘hey, well now I’ve got this store of money that I never got before, and it’s more than I’m actually making in the job’. Frontline workers are most exposed and most concerned about whether or not their health is going to be at risk, and at the same time you see businesses shutting down left and right. You look on the other side of it, in the high tech space where this group and the people listening to us tend to be, there’s a great hiring going on – a lot of people still have quit and decided ‘hey it was a time to actually move to another job’, but I think it’s been advantaged here in this space, but very disadvantaged on the other side of the coin.
7:19 Kevin:
I like what you said there Bruce on the greater hiring, I think that ties back to one of our first talks this morning, by Mike I believe – I’m not sure if you were directly referencing that, I think you were – the great rehiring, right?
7:35 Bruce:
Yeah, I was looking at his stuff and I’m thinking ‘wow, there’s companies overly competing for the same same job’ – still a challenge to go find something if you’re looking, but there is a lot of work out there.
7:53 Kevin:
For sure, for sure. Let’s talk a little bit about occupational burnout; what are some of your thoughts on how companies can help with that?
8:13 Sam:
I think it’s incredibly important. What I’ve been seeing as well as reading is that if you as a company were really quick to bring people back into the office when lockdown was eased, you were seen as the company that didn’t really care and didn’t have the culture of focusing on the employee. I think that the companies that gave time off to staff and had a mixture of meetings in the office and working from home actually could retain their employees to a greater capacity than others. Things like that – having days where you would meet, having a week off; I think some companies actually gave individuals weeks off to recharge. I heard that Bumble, Nike and LinkedIn did that. I think if you were focusing on those things we learned when we were in lockdown, getting that right balance, then I think staff really responded well to that and wanted more of that, and would choose to go back to those companies rather than jump to something else. So I think that was important definitely, having a bit of a hybrid schedule helped.
9:44 Bruce:
Yeah, I think that seems to be coming up as one of the number one things that people are looking for, truly flexible work hours. We’ve become much more internationally creative – I mean look at us here, in just this group we’re in three significantly different time zones. I could have my midday off or have my morning off, because I know I can work in the evening. Also people, especially here in technology, are introverted – I’m not gonna say that’s entirely the rule, but in this space it’s pretty darn common – so people that started working at home were like ‘I’m not really sure that I want to come back’. I see Munici asking about mental health due to the pandemic; again we’ve seen a lot of studies on really what’s happening, burnout has increased significantly. I am trying to understand a piece of that – because a lot of people in this space, we’re driving right, so they’ve gained back anywhere from an hour to three hours a day or sometimes even more than that, but now what’s happening is people feel like ‘I’m on Slack (or whatever it is); I’m available 24 hours a day’. Nobody has figured out exactly how to work in the new space and just say things like: ‘oh, just turn things off’. If you get to any of the things people have been talking about, like ‘oh, I won’t look down at my phone right now just because some message just popped up on it that wants my attention’. And then right away of course I’m always looking to say ‘okay, wait, has somebody responded to the last 12 things that I put out in different spots?’ And I’m always searching around. But yeah, burnout has increased and I think a lot of it is because we’re so much more connected than we ever were before and people don’t know how to turn themselves off and set the boundaries. The management teams that we’re working with; the only way they can set boundaries is to not respond right away if you drop a message in at four o’clock in the morning or whenever it is that your mind says ‘oh I need to get this communication out of my head’. If they actually respond then that almost says ‘I guess it’s okay to work’ when you really probably shouldn’t be.
12:36 Sam:
I think what you mentioned earlier about burnout, and Bruce raised this as well, it’s really important to highlight. I think both men and women across the data that we’ve found were experiencing it. And I know that for women in particular, 42% of the working population that was asked felt burnout, and I think a lot of that was to do with being accessible, being online, being there to support your team whilst working from home. We’re stepping up to do that and it’s about getting that right balance and learning how to do that, to have those breaks. I think there’s definitely an element of that involved.
13:27 Bruce:
Especially for people with young children, who now work at home and can spend more time with the kids but now maybe have less opportunity to get help, is there more burnout that’s now occurring, especially for women? And it also applies to men, if you’re home with the children now more than you were before, when work might have been your escape.
14:00 Sam:
Yeah, I think you’re right, I think there were fewer childcare options, and if you have little ones at the same time as working, how do you manage that? It did put a lot of pressure on during the pandemic.
14:21 Shilpi:
This is a great discussion, I think a lot of audience questions are coming in on mental health, which i would love for you guys to answer. What are your thoughts on how Covid has affected our mental health?
15:18 Bruce:
A lot of studies as I was looking at this topic have focused on increasing anxiety and depression, and it’s interesting, this topic just runs back to (moving towards the vaccine mandate) that people are afraid to go back in the office because people are afraid that they’re going to get sick. Kevin’s commute is via public transportation – does that mean that everybody who’s going to get on the bus or on the train should be vaccinated, because there’s now all this fear of being around people? It’s just added to that and made everybody more anxious.
16:16 Shilpi:
I want to hear your opinion – we can’t be like ‘oh this is good, this is good, this has to be done’. I want to hear your opinion on the vaccine mandate – should it be done, should it not be done?
16:51 Sam:
I work as a teacher, I’ve worked in education a number of years, and I think for me it’s important. I was the first to get my vaccine and my double dose; it’s important to me and I think it’s important to protect my family, my community and my children. It’s definitely a hot topic in terms of how we follow through with vaccinations in the program, but speaking from experience I think it’s really key to do it.
17:30 Shilpi:
Here’s what I feel: healthcare; yes, it’s a private thing and we don’t want the HR professionals in companies to ask for our health care records; and yes, vaccination is a part of a healthcare record that they are asking for. But this is not something that is going to only affect me, it is also going to affect everyone around me; if I have Covid-19 then it’s going to put others at risk. I can do whatever I choose to do with my own life, but if I am going to put others at risk then there can be consequences. All that companies are saying – and this is where we stand – is ‘we feel that if you want to come back to work, you’ve got to be vaccinated’ – that’s all they are saying. They’re not firing you (yet), but that’s what they are saying to protect others, not just you. What does Kevin feel about it?
18:35 Kevin:
I’m gonna answer your question with another question – by asking that question aren’t you separating or segregating people in terms of vaccinated versus non-vaccinated? What is everyone’s thoughts on that happening?
18:54 Bruce:
We had a fun discussion on that – if you were going to have people that didn’t have to be vaccinated, should there be two separate buildings so they don’t actually have to enter in the same spot? If you’re big enough, you could actually allow people to be segregated by being vaccinated.
19:10 Shilpi:
I feel that once we get herd immunity, where if only 20% of the people are not yet vaccinated but 80% of the population is vaccinated, that will take care of everyone else and we don’t need segregation. Obviously we don’t want to create more divides than there already are; for all kinds of reasons there is already so much division in society, and we don’t want vaccination to be another reason for creating more division. But at the same time, you can’t take a chance with health – it’s like saying ‘okay, I’m going to leave it to God and see what happens’, right? That’s not where science comes in; we are data ethics people who believe in science, people who believe in data, so we can’t leave it to chance. For that, if vaccinated and unvaccinated people have to be kept separate, then so be it – because I’m not going to put myself, my family, my friends, my neighbors, my older parents at risk because I am not ready to show my vaccination card to my HR people.
20:22 Sam:
Yeah, I agree – I think there’s certainly a role to play across companies and, for example, the department of education – I know that in particular states in the US now you have to have had regular tests or the vaccine before you can go back to work, I think that’s important. And there’s possibly a way to sensitively manage that within companies, but obviously we haven’t had that experience before, and I think we need to manage that sensitively, speak to people as individuals and as human beings and really try to encourage people to do it. That’s what we have to do, I think, just encourage them to see the positives; the obvious positives for doing it.
21:15 Shilpi:
And understand what their concerns are, right? If they’re not getting it done then obviously they have some concerns, so understanding those concerns and talking to them like a human, trying to mitigate those concerns and willingly get them on board to get vaccination would be the ultimate goal to doing it right, instead of forcing people or putting a mandate on it. Bruce, do you want to share or add something?
21:45 Bruce:
Well, I was just thinking that when the New York mandate came out and they were saying the nurses and doctors were gonna basically get fired if they didn’t get vaccinated, I was listening to the nurse who was in charge of one of the areas saying: ‘hey, we have to get vaccines for all sorts of things in this job – so really how different is this?’ And I think, Sam you may have said the same thing, there’s certain vaccines we’ve already had to have. It’s the same thing when you’re bringing your children to school; you have to have your vaccine record for them, or you have to have this heavy exclusion of those not vaccinated, whether because of religious reasons or actually health reasons, to take it the other direction. So I do believe that regardless of how I feel about it, that’s really where we’re going to end up. This is going to be another one of those vaccines that fits into the requirements – what’s weird is that it’s not a requirement for general public jobs today, and I just don’t think that’s really ever going to completely win, no matter where we go with it. So even though big companies are saying that right now, there’ll probably be enough fallout if they go that direction outside of the places where it exists today. It may not win those spaces – does that make sense? You know, schools, healthcare; the things where we’re having people quit in the bigger resignation, all the food workers… I think these are the places where it will find its way to be successful, but I think in the general populace it’s going to fail if it gets forced.
23:42 Shilpi:
To your point, Bruce, we have a high schooler, and in her school to be able to go back to actually physically attend the school, after more than a year and a half, it’s a requirement to have a vaccination. She’s in high school, obviously for the elementary kids the vaccination is not even out, so they probably don’t have that requirement, but for high schoolers they have to show that they have been vaccinated. Susanna would say that they don’t have their own agency yet, so it’s okay to ask for students to show their health record, but yes the students who are not vaccinated are not allowed to come back to school physically, and there is no hybrid model I’m aware of now. In some ways they have mandated that if you want to be physically present in school or continue in an academic public school or private school, whatever that may be, in an actual school building (unless you want to be tutored at home), this is the mandate. Schools, hospitals and the healthcare industry started the mandate long before corporate America or the others started this mandate, but we never complained about that, we never had a great resignation, we never said ‘oh I’m going to pull my child out of school because you are mandating this, I don’t believe in it and I’m going to homeschool my kid.’
25:23 Bruce:
I’d like to bring a point back – when you think about where we want to model ethics from, where does it come from, it usually comes from healthcare or education. So those two main areas; of course, things have become legislated there but the actual idea of ethics exists in both places and it’s always been there, whereas in general business ethics are not required, you leave them at the door, right? If you’re going to be in the places where it’s going here, ethics are required up front, and of course the people who are shown as unethical don’t succeed in that space, so I think the topics fit together when we talk about it.
26:20 Shilpi:
If I understand you correctly, you are saying that ethics in society is modeled after healthcare and education, and so if they are doing it then the vaccine mandate is okay in terms of data ethics?
26:36 Bruce:
I was just connecting the concept that the areas beyond healthcare and education are where you’re going to get the biggest complaints because people are just not used to having these things. They’re like ‘oh, I’m going to deal with the law when it gets here, I’m not going to get ahead of it, my corporate social responsibilities thing is going to be looking at the laws, it’s not going to be looking at what’s ethical.’ On the vaccines, people are gonna be like ‘I don’t know if I really wanna take it because I’ve never had to do this before’, but in healthcare and education it’s existed from the beginning. It’s a common theme that people are gonna avoid stuff that they haven’t had to do in the past, if they can get away with it.
27:49 Kevin:
I honestly have the opinion that in more non-frontline industries, the problem will solve itself over time, because in non-frontline industry you do have hybrid models and even completely virtual models can exist, so I think in those scenarios no one really needs to know whether you’re vaccinated or not, since you’re sitting behind a computer.
28:45 Shilpi:
I completely agree; virtual scenarios are completely independent and that’s why I said that if there is a hybrid model where you could still attend school online, whether you’re vaccinated or not should not be anybody’s business, that’s completely up to you. So if you still want to continue working from home and if that is an option your company is willing to give you, obviously there is no need for them to mandate that you have to be vaccinated. But I do want to end with the thought that Sam said, that it’s very delicate, very important and not very easy: that forcing something upon someone is one thing, but getting them to agree and believe, and influence them to make this decision on their own is the ultimate goal. And what can we do to do a better job at that? Maybe these companies could have training sessions or actually bring people to talk about the things, hearing stories from both sides of the table – people who have been vaccinated versus not; the consequences or the stories that will help them rethink their decision. I don’t know if that will help, but somehow we need to bring them on board if they want to work in person.
30:05 Sam:
Yeah, certainly I agree – I think having the data available to us so we can look at the case numbers and vaccination rates and how they compare would help and inform people; that would be really super helpful definitely.
30:21 Shilpi:
Thank you panelists and moderator, Kevin – brilliant job, thank you Bruce, thank you Sam.
Press Release: George A. Polisner Founder of Civic Works joins the DataEthics4All Board
Thrilled to welcome George A. Polisner as our newest Board Members for DataEthics4Allᵀᴹ 501c3 to really help us reach our 5M5Y Goal in bringing STEAM in AIᵀᴹ to 5 Million economically disadvantaged kids worldwide!! George A. Polisner is the founder
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PRESS RELEASE- FOR IMMEDIATE RELEASE
CONTACT: Shilpi Agarwal
President, DataEthics4All 501(c)(3)
CEO, DataEthics4All Foundation
Email: [email protected]
George A. Polisner, Founder of Civic Works joins the DataEthics4All Board.
December 8th, 2021
Thrilled to welcome George A. Polisner as our newest Board Member for DataEthics4Allᵀᴹ 501c3 to really help us reach our 5M5Y Goal to bring STEAM in AIᵀᴹ to 5 Million economically disadvantaged kids globally!!
George A. Polisner is the founder of the non-profit Civic Works. Prior to founding Civic Works George worked in product development, performance engineering, service design and management at Oracle Corporation. He published his resignation letter from Oracle as a protest when the co-CEO of Oracle joined the Trump Administration’s transition team. His letter (https://www.linkedin.com/pulse/resigning-from-oracle-george-a-polisner/) was covered by major news outlets and was viewed over 350,000 times.
We’re so excited to welcome George on board and hope to seek his guidance to reach our 5M5Y goal to bring STEAM in AI for youth everywhere and help the underprivileged kids with our 10 Pillars of the program which includes stem tutoring, career guidance, mentoring, essay reviews for college applications, internships, career technical education in AI Ethics, leadership opportunities and the opportunity to earn the Presidential Volunteer Service Award: https://dataethics4all.org/steam-in-ai-movement/ all for free.
Press Release: Luis De Mendoza Regional Manager Microsoft TEALS joins the DataEthics4All Board
Thrilled to welcome Luis De Mendoza as our newest Board Member for DataEthics4Allᵀᴹ 501c3 to really help us reach our 5M5Y Goal to bring STEAM in AIᵀᴹ to 5 Million economically disadvantaged kids globally!! Luis De Mendoza III, of Jacksonville, has
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PRESS RELEASE- FOR IMMEDIATE RELEASE
CONTACT: Shilpi Agarwal
President, DataEthics4All 501(c)(3)
CEO, DataEthics4All Foundation
Email: [email protected]
Luis De Mendoza, Regional Manager, Microsoft TEALS joins DataEthics4All Board.
December 7th, 2021
Thrilled to welcome Luis De Mendoza as our newest Board Member for DataEthics4Allᵀᴹ 501c3 to really help us reach our 5M5Y Goal to bring STEAM in AIᵀᴹ to 5 Million economically disadvantaged kids globally!!
Luis De Mendoza III, of Jacksonville, has served as the Regional Manager of the Microsoft TEALS Program for North Florida since 2020.
During his tenure with the Microsoft TEALS program, Mr. De Mendoza has expanded the footprint of the program into the state of Florida, creating a healthy base of three counties and a dozen schools.
He has made the TEALS program in the region self-sustaining within a year and helped set computer science education policy at the school and district level.
Mr. De Mendoza has shared his experience working in the information technology industry, along with his experience in secondary education, to guide schools and districts into building or growing their computer science programs.
He serves on the Jacksonville Information Technology Council Board in addition to several school technology boards.
Mr. De Mendoza earned his Bachelor of Science from the University of Miami and his Masters in Information Technology Management from Colorado State University. He is fluent in English and Spanish but loves to chat in his limited French or Burmese. Mr. De Mendoza is most proud of his wife Shelly and his beautiful daughter, Korra.
We’re so excited to welcome Luis on board and hope to seek his guidance to reach our 5M5Y goal to bring STEAM in AI for youth everywhere and help the underprivileged kids with our 10 Pillars of the program which includes stem tutoring, career guidance, mentoring, essay reviews for college applications, internships, career technical education in AI Ethics, leadership opportunities and the opportunity to earn the Presidential Volunteer Service Award: https://dataethics4all.org/steam-in-ai-movement/ all for free.
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“I love this new series of conversations that we have started called Ethics 1st. It’s very near and dear to my heart”
– Shilpi Agarwal
Talk Summary
In this #3 episode of the DataEthics4Allᵀᴹ Ethics 1stᵀᴹ Live Talk, the DataEthics4Allᵀᴹ Leadership Team will discuss our newly launched STEAM in AI Program during the National STEM/ STEAM Week. STEM has traditionally always been about Science, Technology, Engineering, and Mathematics.
Then they realized that Arts was an important part of this equation and so came STEAM. DataEthics4Allᵀᴹ believes that in order to break down barriers of entry in Tech through a grassroots approach, we need to include nonlinear paths such as Sociology, Tutoring, Ethics, Analytics, and Mentoring that lead to careers in Artificial Intelligence besides the linear paths such as Science, Tech, Engineering, Arts and Maths.
Artificial Intelligence is here to stay. It’s being used in all walks of our lives today and every Industry in the future is going to adopt it. So, how can we better equip our next generation with thought leadership, ethics by design, career mentoring and guide them to these new linear and nonlinear STEAM pathways that lead to Artificial Intelligence? Come, Join Us in the STEAM in AIᵀᴹ Movement!!
1:28 Shilpi: Hello everyone, and welcome to this episode of Ethics 1st live talks, with food for thought with ethics first leaders.
2:48 Shilpi: I love this new series of conversations that we have started called Ethics 1st. It’s very near and dear to my heart because of two reasons. One, the things that we used to talk about in our leadership meetings and the things that we generally talk about with our friends on a regular basis, we always have so much to say, everyone relates it to the current affairs, and the things that are going on around us and how we put ethics first in things that are important to us, that’s a conversation of everyday life now for us, so to be able to bring that to a global stage, and to be able to bring audience comments and participate in all of this, and understand what it is that is shaping our lives today, and we are bringing food for thought for people who are ethics first minded, who are thinking leaders who are trying to bring change in their organisations by being ethics first. That’s why this is so important and fun. I think this is a very important discussion that we have started. And so who can tell me about what we are going to talk about today?
4:15 Sam: That’s a great question.
4:18 Sam: Yeah, this evening I think the main aim is to discuss our new DataEthics4All Foundation ‘STEAM in AI’ program.
4:33 Sam: Is it STEM day today as well that we are celebrating?
4:37 Shilpi: November 8th was the actual STEM day, Susannah do you want to add something to that before I explain more about STEM?
4:54 Susanna: Yeah, STEM Day was this week so we are actually celebrating it for about a week.
5:01 Susanna: Shilpi has a great announcement to make.
5:04 Shilpi: [laughing]
5:05 Shilpi: Not just Shilpi, our whole team, we are the team, right? We brought this programme up, we came up with this cool name together.
5:14 Shilpi: There was just so much brainstorming behind the scenes for everyone who doesn’t know, there’s always so much discussion going on. Before we announce something, we put a good amount of thought into it just like anyone else. But yes, we do that as well, a lot of brainstorming on what acronym should we choose that really stands for what we want to do, our vision for youth, and how we want to change the world of AI together with you, and also for our next generation, so we gave it a lot of thought. Because we have some very unique things that we offer, like career mentoring, career technical guidance, STEM tutoring, we wanted to find an acronym that befits everything that we are doing, and it was, believe me, it was so hard to come up with one.
6:12 Shilpi: If you look at our drawing board and everything that led us to choose the name ‘STEAM in AI’, it’s been quite a journey.
6:29 Shilpi: Like Susanna said, National STEM Day was November 8th, but we are celebrating a whole STEM week. And if it was up to us, we would celebrate a whole year and a whole decade, right? That’s what we stand for. We really feel that we are bringing the STEAM into AI. So who can tell me about what STEM stands for?
7:01 Sam: Shall I go first?
7:01 Shilpi: Yes, the traditional meaning, not our version of it.
7:01 Sam: Yeah, yeah.
7:10 Sam: Yeah. So, in the UK and internationally, we use the acronym ‘STEM’, and I think what often we refer to are the quite heavy and technical science-based subjects, so the sciences; biology, chemistry, physics, and then we’re looking at mathematics. So technology is ‘T’, and then we have ‘E’ which refers to engineering, and mathematics clearly. I think they’re the ones we look at, yeah.
7:44 Shilpi: Absolutely. And then Susanna, how did we get to STEAM, do you know?
7:52 Susanna: STEAM? From the traditional word, they added one more letter for arts, to try to bring in arts. Arts meaning, not just arts like music and painting and drawing, but arts as well as the humanities, were all brought into that one letter. Yes, so that is STEAM.
8:12 Shilpi: And now national STEM/STEAM day is a combined day to celebrate STEM and STEAM. Because it’s an important revelation that the arts are also important, humanities is a bigger umbrella, arts is an important subject to include in STEM, and the DataEthics4All leadership team, we just can’t stop at that right? So we had to come up with our own version of STEAM, and we think, if you look at everything that we have done so far, and what we stand for, what we are trying to do is create linear as well as nonlinear STEM career pathways for our youth, especially leading into STEM and also artificial intelligence. And so that’s why we decided to include many, many more subjects and areas, some things that are unique to what we offer. So who wants to talk about our definition of STEAM?
9:19 Susanna: So Sam, you go first and then I will go.
9:22 Shilpi: It’s like a quiz, like a look at this, my own team!
9:28 Susanna: We may fail this quiz!
9:34 Shilpi: Just add the ones that we have added, so for S, we have added what?
9:40 Susanna: Sociology.
9:40 Sam: Yeah, that’s right. That’s it. That’s it.
9:45 Shilpi: Susanna, who can better tell us about sociology than you? So let’s start.
9:50 Shilpi: So today our whole topic is going to be about the three of us who have come from very different backgrounds, and how we have all come together and how we are helping shape the next version of AI, or trying to build the better version of AI.
10:08 Shilpi: We come from various very different backgrounds, which will be the topic of discussion today. And we’ll start with Susanna and ‘S’ which is ‘sociology’, and so she will tell us how we added sociology and a little bit about her background.
10:25 Susanna: Well, I know how we added ‘S’, you know, we just kept on brainstorming what to add for the letter ‘S’, it was social sciences, sociology, and there are so many things that we could add but the social sciences itself is one of the key areas for artificial intelligence in my opinion.
10:44 Susanna: Because artificial intelligence is built on human data and you can’t take sociology out of human data, there is no way you can do that, and if you want to build an AI system that is going to be ethical and is going to be beneficial to humanity, it has to have sociology in it.
11:03 Susanna: My background is from social sciences, psychology is an interdisciplinary field of social sciences. So I study human behaviour, and I study how human behaviour can be interpreted, human emotions and human behaviour, human cognition which can be interpreted in a way that’s understandable by machines. So that’s where my background is. So yes, I’m glad that we incorporated sociology into the STEAM.
11:34 Shilpi: Yeah, because just like you said, psychology, it starts with P, but yes, all these sciences, right? Even on social media, we have had town hall discussions on how social media is affecting disinformation and polarisation, we have had our youth, as well as our [inaudible], participate in this discussion.
11:55 Shilpi: So today, you can’t leave the equation of sociology out of the equation of artificial intelligence, right. So it is a very important part. And that’s why we have decided to include it.
12:11 Shilpi: Okay, so let’s move on to ‘T’. What is it that we added to ‘T’, our version of the ‘T’?
12:18 Sam: Yeah, we had technology in the initial STEM revision, but then we decided to add technical education, and I think that really encompasses a lot of subjects within it. It’s not always the pure computing programmes or computer science programmes, but it does include that. Yeah, it could be studying, for example, how to build applications or web design within an applied programme. And it could be, for example, understanding natural language processing, to build applications in NLP, which is where I’ve got my experience. I’m a linguist, and I started out as a languages specialist, with a technical background in economics and business, and I developed language programmes, but I also started moving into natural language processing because I know that, as Susanna was saying, there’s a really close link between the human interactions that we have, the human conversations that we have, and the benefits technology can bring to that, and just how much more enhanced our lives can be through technology and language – and yeah, NLP applications like chatbot tools, I have delivered a couple of courses on that recently with our community at the Bootcamp and also with the demo. First of all, I think that – for me – technical education, understanding the tools and applications, the language and building solutions, which is what we do, you know, which is our goal.
14:03 Shilpi: The ‘no code AI’, that’s also technical education, even though it doesn’t really involve coding right? The ‘no code AI’ movement is that it doesn’t require coding, but yet it is considered technical education. And so tutoring and technical education are the things that we have added to technology for ‘T’. What have we added for E?
14:31 Susanna: [laughing] Ethics, I think?
14:34 Shilpi: Oh my goodness, this is a joke?
14:43 Susanna: It is a joke, only I mean, of course, it is ethics. The other one stands for engineering, but we wanted to have ethics in engineering so it’s not a word that we can forget because it’s flashing across the screen of all sorts.
14:58 Shilpi: With Ethics 1st, our talk is ethics first. Everything we do is ethics first, we want to raise the next generation of ethics first leaders, our AI DIET World celebrates ethics first champions, whether it’s people, products, or companies’ solutions. So we are big into ethics in everything we do, and we want to bring all conversations centred around ethics, no matter what career you choose in life, no matter what role you are, no matter what position you start as, whether it’s that you’re just starting out your career, or whether you are an experienced professional, whether you’re a marketer, or an engineer, or a salesperson, or anyone in any role, ethics should be the centre and focus of everything we do today, right?
15:51 Shilpi: I mean, that’s the only way, ethics has to be ingrained into everything we do by design, only then can we be successful.
16:00 Shilpi: Because as we all have always said, right, especially at DataEthics4All that compliance is a very low bar, and if we just do the bare minimum, if companies are doing just the bare minimum of being compliant, then ethics is going to be left behind. And if we want to bring ethics at the forefront then we have to go way above compliance, and we have to make sure that, yes, ethics can also be beneficial to your bottom line, even if, you know, it may feel like in the short run, and we had some great discussions around this in our AI DIET World with some great speakers, enterprise speakers where, you know, we talked about how we could really improve the bottom line, not just affect, but actually improve them, because when we are trustworthy and we are transparent and we are following good data practices then our customers trust us, and they value their privacy. So their trust, earning their trust means by following ethics we are going to help our bottom line. So we want to make sure that our kids, our next generation also understands this and put ethics at the forefront of everything they do. Okay, so moving on to ‘A’, what have we added for ‘A’?
17:30 Sam: We have the arts, we’ve actually added the arts to this as well I believe, and also analytics.
17:41 Shilpi: So we have added analytics. Yes, yes. Okay.
17:48 Susanna: Of course analytics and advertising, analytics and data collection. I mean, that’s a big, big deal.
17:54 Shilpi: Of course, a big, big deal. Yes.
17:58 Sam: The insights that we gain from data are profoundly important to businesses and to a lot of organisations. Our focus as well is really making sure that ethics and data ethics is at the centre of that, right, that it reflects our society and biases not brought into the datasets themselves, and understanding when that can happen. Yeah. Yeah.
18:31 Shilpi: Yeah, go ahead, Sam.
18:33 Sam: I’m fine. Go ahead. Susanna, sorry.
18:36 Susanna: Yeah, definitely, or whatever, you know, I do agree with whatever Sam has said, you know, analytics is a big deal now.
18:43 Susanna: Yes, especially without ethics, analytics is going down the wrong path, and it has been on the wrong path for a long, long time.
18:52 Susanna: So now, bringing analytics and bringing ethics within the STEAM under this broader umbrella, I think we can actually have analytical systems developed that are more ethical in the coming generations.
19:05 Shilpi: Yeah. And how I see it is that nowadays, data is in so much abundance, right? So how do you make sense out of that data? So for that, we have all the analytics in the world, right? That is the only way we can make sense of the data. And there are just so many tools, wonderful tools that will give you wonderful dashboards, data dashboards, and they will give you opportunities to analyse your data, understand your data, make business sense out of it, whether it’s for finance or for e-commerce or for healthcare, analytics is important to understand different trends, and understand the customers and what they need, and their behaviour and the pattern. So pattern recognition. Everything that we can do through pattern recognition is what we can do through analytics, and analytics now has become, like data analytics and data science have become careers – major careers in themselves, like people, can become data scientists and choose that as a career. And analytics is a big part of that, and analytics is here to stay. I mean, there’s just so much, not just an abundance of data, but the abundance of tools as well, there are 1000s of analytics tools out there.
Shilpi: So you still need a human to be able to understand and make sense out of those analytical tools and the data and the graphs, and to translate that into a business strategy, and to make sure that we are able to utilise that information in a way that it improves our bottom line, right, so only data analysts, and you don’t even have to be the best at math to be able to understand if you have business acumen, and all these data tools will do the job of bringing the results to you, if you feed in the data, they’ll bring the results, then all you have to do is be able to understand that through your business acumen, right? You don’t really have to have the technical coding skills to be able to understand that. So that is again a very, I would say not a direct linear path to data science or STEM like but basically, somebody who is not from a STEM major could also still be a very good analyst. So yeah, that’s a great, great area that we have added to our STEAM. And then moving to ‘M’. Do you want to say what we have added for ‘M’?
19:17 Shilpi: Certainly, it’s at the core of everything that we do here at DataEthics4All at the core of every grassroots organisation, that is mentoring. So then we have added mentoring to mathematics. So not only mentoring in mathematics, mentoring in all of the letters preceding them.
22:06 Shilpi: Yes, yes, definitely.
22:09 Shilpi: I think one of the biggest differentiators that DataEthics4All has to offer is that we have a 1000 plus global community of leaders who are from 54 different countries in the world. And that’s not a small feat.
22:27 Shilpi: If you Google today, how many total countries are there? There are like 200 countries, right? So if we have 197, or something like that, so 1/4 representation of all the countries of the world talking about real diversity, inclusion, and also our age groups, right? Who can tell about the different age groups that are part of our community?
22:55 Sam: Yeah, if we look at the statistics and obviously our data on our website, our youth team are high school age, so we have young students and teams that work together as part of the AI youth council, and then we have experienced professionals that are working in organisations and in healthcare and in various different sectors, I.T. construction, and various different areas, and then we have those that have also finished their careers full time and now are a little bit older and have that experience and that time to give to young people and to the next generation for mentoring. We have an abundance of experience across different sectors and that’s the wealth, the knowledge, you know, that we have as an organisation. It’s really exciting. Right up to 70 plus I believe, or 80.
23:54 Shilpi: Middle school, we encourage students from grade six to professional age and retired as well right and we all have so much wealth of information. Even young students, I’m amazed at when they come and share or when they come to our town halls or events, mixers, tech mixers, they have taught pet for youth studio courses our AI youth council, they have a clear perspective on how they look at the society and the world today, and they have an opinion about things about almost everything today. So it’s nice to be able to understand and hear their values and where they come from what is important to them. Susanna, what would you like to add to this?
24:55 Susanna: I believe the age difference is from 8 to 80 or something like that? That’s how wide and how varied we are in terms of this community, it’s diverse! Yeah. It’s also the disciplines, the countries, it’s also, you know, not only just that, even within our team, we have so much diversity. Even though it may appear on the front that Shilpi and I are both, that our native land is both from India, but there is nothing common between us. Other than that, you know, her background and my background are so different, and then we have Sam here who is from the UK, then we have somebody from Canada, then we have another person who was, you know, completely from a very different industry, automotive industry who has now jumped into AI ethics. So we have so much diversity even within our team as well. So that’s something I wanted to add.
25:53 Sam: Yeah, we are definitely.
25:56 Shilpi: That is so true. And that’s why what we are trying to say is that. Let me talk a little bit about my background. I started from a STEM career because I am an engineer, trained engineer by profession, a computer scientist, computer engineer, and then I did my Master’s in design and visual communication, and then I practised marketing and graphic design and visual communication for almost 20 years. And I have seen how marketing itself has changed over the years. When I first started in this area of marketing, it was more about creating brand awareness, and everything was like, ‘okay we build websites, and they will come, right?’ There was not that much analytics in place, it was just, it’s one of those things, you have to do it. It’s good to have social media, you have to be there on the sidelines, there was no analytics, no ROI, nothing like that. You spend money on it, and that’s okay. You have the budget, you have to do it, that’s it. I’ve seen over the years how this trend has totally shifted. So the graphic designer part of me liked that it was for brand awareness, but the technical side of me always felt like, how am I doing? If I posted three times on Twitter, how am I doing? Like, am I bringing value to my customers? What does this mean? I spent 50,000, or whatever that money is on ads. So what did we do? What did we get out of it? There was always this question, but it seems like not many people were asking that question.
27: 42 Sam: It’s interesting you say that because I think that over the past few years, and from my experience before going into education in my professional experience, there is more demand now in the analytics space for ROI data and essentially, your return on investment on your social media investment. Yeah, and there’s lots of metrics and analytics in that space that is really powerful now, and we didn’t have that before. And yeah, you’re right, it’s certainly an area of growth and an area that we are interested in as an organisation.
28:18 Shilpi: Yeah so I think it came full circle because with the creative side of me and the analytic side of me, then it made sense
So it came, because of my engineering background, all the analytics and marketing came naturally to me
Shilpi: and people who are purely from just the design side still had some learning in that area. Like how do you adopt technology to become like, otherwise savvy, right? So it has moved in that direction.
28:46 Shilpi: So I started with STEM, went into non-STEM and I think it’s a full circle now, and then by starting DataEthics4All I saw problems in marketing data.
28:56 Shilpi: Then I thought we need to do something because marketing heavily uses data, as you know, from collecting data from website traffic, users and visitors, to customers actually leaving the data and then targeting them with ad targeting and then everything we saw with Cambridge Analytica, and then we heavily used ad campaigns as weapons, we did ad weaponisation during the political elections. So, I mean, all of that was very troubling to see as a marketer, that we are not using the data well, in fact, we are misusing data to a point where we are using it as a weapon, and that was the beginning of why I started DataEthics4All and how we moved into AI. So I think I have come full circle in terms of STEM, non STEM, STEM, non STEM and the whole thing.
29:52 Shilpi: So, I think what I’m trying to say here is that there are many, many paths to STEM and many paths to AI.
30:01 Shilpi: Some will start off with even non STEM paths just like Susanna, and even Sam mentioned, NLP. sociology, no code AI, marketing field, they don’t have anything to do per se with STEM directly and yet you can come to AI or you can come to data, you can come to analytics, you can have all those careers, but the pathways will be different for everyone.
30:33 Sam: Yeah, definitely, and we reach milestones in our careers, and we want to move into different industries and different roles and we have that option now. The technology is there, the applications that we use to build tools are there for us to use and to develop, it’s really exciting. We just have to, as we said, make sure that we think about ethics woven into the design and the fabric of these tools. And that’s what we want to focus on. That’s our mission, part of our mission.
31:06 Shilpi: And especially for our next generation. All right. So yeah, Sam?
31:19 Sam: Yeah, no, thank you. That was really, I really enjoyed that discussion.
31:22 Shilpi: Thank you. I know, we are all so passionate, I can see the passion.
Sam is a passionate teacher and she not only teaches on an everyday basis by profession, but then in her spare time, she volunteers for DataEthics4All, and she teaches workshops and courses, and she learns herself – she’s a linguistic teacher, but she learns technology and she learns NLP and no code AI, and hats off to her for taking on all these things and stepping outside of her comfort zone, and trying to learn all these new things, and then making sure that she’s ready to even teach others, you know, she’s just picked it up, and now she’s ready to teach others, that is just so awesome Sam.
Shilpi: Susanna also has taught courses on education platforms as well as other places and like we discussed in the last episode, she calls herself and self identifies as an introvert, so it is difficult for people to step outside their comfort zone, for everyone, but more so if you consider yourself an introvert, I’m sure it must be a little harder for her to do that. And yet she has managed to find the courage to put herself out there in front of people for the benefit of society, and join and be a leader at DataEthics4All for all and be here on the Ethics 1st live weekly talks. So I’m just so glad that we are able to create these pathways for our students and for our younger generation and be these, hopefully, be good role models for them. For them to see that anything is possible.
33:16 Sam: Absolutely, awesome. Yeah, definitely.
33:18 Shilpi: All right. Thank you both for joining me today, and Happy National STEM/STEAM day or week everyone, to all our listeners, and we’ll catch you next week, same day, same time, take care!
33:33 Susanna: Thank you for joining us!
33:38 Shilpi: Please join us, please scan the QR code and join us, join our community, just like we shared a little bit, it has a wealth of information, many, many resources for you, we have the on-demand data ethics institute and the courses, we have the community mentoring and guidance.
33:58 Susanna: Yes [laughing]
34:08 Sam: Have a good weekend. Bye bye-bye.
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“That name is very misleading – ‘ethical hacking’, there is nothing ethical about it.”
~ Susanna Raj
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“$27 billion in cyber-security costs were saved in investigation, remedy action and recovery incident investigation and recovery during the course of the pandemic.”
~ Shilpi Agarwal
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Talk Summary
DataEthics4All brings this Series of Weekly Ethics 1stᵀᴹ Live Talks for Leaders with an Ethics 1stᵀᴹ Mindset for Leaders who put People above Profits. Come, Join us for this lively and informative weekly discussion and food for thought on how to create an Ethics 1stᵀᴹ World: People, Cultures, and Solutions. On 2nd December we discussed what is Ethical Hacking? Is it Legal? How can Tech Companies take advantage of Ethical Hacking.
Talk Transcript
0:43 Shilpi: Welcome back to yet another episode of ethics 1st live where we bring food for thought for ethics 1st minded leaders who put people above profits. I’m your host, Shilpi Agarwal, founder and CEO of DataEthics4All Foundation, and I will be joined by some of my leadership council members – Suzanna Raj, and Samantha Wigglesworth.
6:37 Shilpi: Let’s continue on with the topic, which is ethical hacking.
6:40 Shilpi: So, what exactly is ethical hacking? What does it mean to you? I’ll do a follow up question about whether or not ethical hacking is even legal. We’ll start with you, Sam, today.
6:56 Samantha Wigglesworth: Okay great, thank you.
7:00 Sam: I think that when I first think of the words ‘ethical hacking’, it’s an individual, someone who has experience of working with computer systems and is quite talented with the programming, they’re quite knowledgeable. They’re the ones that are given the keys to access systems, and companies have permission to go and test out software, the programming languages for software, I think they might be computer systems as well.
7:31 Sam: So they’re the ones that go in and try to find vulnerabilities and holes in the system. They’ve got a lot of knowledge and the tools and experience to do that, and they’re given that permission.
7:46 Shilpi: Yeah, they’re given the official role to find vulnerabilities in the system.
7:51 Susanna Raj: Yeah it is exactly that, they hire outsiders, primarily, you have to hire outsiders, it cannot be somebody who works within the company, and they cannot be given a role within the company. So you have to hire somebody from outside who doesn’t know the inner workings of your company or how the programme was coded. Basically, they come from outside and try to hack your system from outside.
8:25 Susanna: It is called ethical hacking because other hacking comes from somebody who comes and tries to hack their way in and access information. This is a company that knows that they’re going to be hacked, but they don’t know when or how or where they will be hacked, but they know that they have hired someone to hack the system.
8:46 Susanna: That is why the name ‘Ethical Hacking’ actually came into being, it’s something that is done with permission.
8:56 Shilpi: Yeah, I like this important distinction that you brought to the table.
9:15 Shilpi: So it’s important to understand that when we are part of the security system, or the security team inside the company, within the company, we know all the passwords, we know everything, we know what we have built. And so, stress testing will always be done around it. For software testing, for example, if we know everything about how we built it, then the QA that’s why the QA team is different from the development team because that’s how they will be able to find those vulnerabilities. In the same way, whenever there is an international conflict, or there are terrorist organisations, they find cyber criminals to breach security systems, and they pay them to compromise national security or to extort huge amounts of money by injecting malware and denying access.
10:11 Shilpi: That has led to the steady rise of cybercrime that leads to devastating results and scenarios, privacy leaks, as well as international government leaks. So that’s why this domain has become popular, and it is very upcoming now.
10:33 Shilpi: Companies themselves hire consultants, hire teams outside their company to bring them on board.
10:41 Shilpi: So they say, to catch a criminal, you have to think like a criminal, and when we wear a white hat, we seldom are able to think outside the box, we don’t have the tools to think like a criminal. Not that ethical hackers are criminals, but they are trained to be thinking like hackers who can damage our systems, and they have been trained to be able to think like that and to tell us the gaps in our security system. So it’s very interesting.
11:16 Shilpi: So you know how hacking has a very standard stereotype. Basically, it’s a person in a hood, sitting in the basement trying to hack a system. Whenever I think of hacking that picture comes to mind, right? Somebody in a hood sitting there, the dark web, with this black laptop, or what have you, and they are doing this illegal kind of activity. So has Ethical Hacking evolved in a way that has broken this stereotype? What do you think?
11:57 Sam: I think a little, yeah, I think the fact that we as organizations now invest heavily in hiring, like Suzanna said, external support and hackers that are professional in their approach, we can see that we’ve moved away from that traditional image, I think, yeah, definitely.
12:16 Sam: I think there are a number of certified programmes that you can now be a part of and apply to pass and do the tests for, and I think that’s kind of elevated the profession, it’s a global certificate as well. Yeah, whether it’s with another professional role, whether it’s education, teaching, being a professional, medical professional, you have to redo exams in certain areas, or re-submit your tests in certain topics and pay again and renew your path, your certification.
12:57 Sam: That’s the kind of thing that you can do now, and I think that’s really helpful. So I think that helps, having that certification. I know that the council, the EC Council, does that as well. So that helps, and it supports bringing it out of the kind of traditional stereotypes that we’ve heard.
13:18 Shilpi: Yeah, so I want to back you up on that ‘Certified Ethical Hacker’ thing that you mentioned from the EC Council. They have this credential programme, anybody can learn to become a Certified Ethical Hacker, and it is ANSI 17 or 24 compliant, it is also listed as a baseline certification in the US Department of Defence directive and is NSCS certified training. So it’s an upcoming field.
13:52 Shilpi: There are professionals who are actually getting into this and choosing ethical hacking as a professional career these days.
14:04 Shilpi: I mean, it’s very interesting from where we started, and how hacking came to be and where it is today. So, how is ethical hacking helping the CIA SO’s today Susanna? The chief information security officers.
14:24 Susanna: I think in many ways it could be helping them because in order to find out the vulnerabilities inside your company, and to hear of them before they cause damage, it’s a wonderful thing. I do believe Ethical Hacking should have some standards, and it’s great that they are bringing up those standards, yes. But to go back to the last question about the stereotype, that they will be somebody in a basement, it has moved away from that.
14:59 Susanna: There is a vulnerability within ethical hacking itself that is not being talked about very widely. It has a lot of disadvantages, the same advantage that it has – the outsider, is the main biggest disadvantage to the company.
15:17 Susanna: It is a major loophole because an outsider is always an outsider. They don’t have the legal liabilities, the loyalty, or the integrity that the NDA and all those compliance regulations, all those things that you sign up for , you know, the 2200 pages that you sign, and somebody hires, you never bother to read all of them, you know, protect the company, and the company’s information, not only the company’s information, it’s our private data as well.
15:48 Susanna: So a bank hires an ethical hacker, the bank is, as we know, more reliable for the security of my data, but an ethical hacker doesn’t have the same liability. Even though we have standards now, it doesn’t solve that problem at all, it’s still a vulnerability.
16:24 Susanna: That name is very misleading – ‘ethical hacking’, there is nothing ethical about it.
16:31 Susanna: You hire an outsider, you ask them to log into your system, they find 1000s of loopholes, they’re supposed to keep documentation of how many ports of entry they tried to enter and the hackers have to close all their loopholes so there are no entry ports, but that the system, see no one security system, one, cache them and backed. So all of those things they have to disclose and tell you about them, and maybe a hacker who was ethical by nature would actually tell you that, but there is no legal obligation for them to tell you everything.
17:08 Susanna: There is no legal obligation for them – they could just grab like 50 names, IDs and social security numbers out of the 50 billion that your company holds. They can do it, they can take it and they can use them, and one of those 50 could be me or you, and this is a major legal liability now.
17:30 Susanna: There are court cases, and corporations are fighting with ethical hackers, and ethical hackers are being sued at many different levels. So it doesn’t look as rosy as you guys put it to me.
17:46 Shilpi: That brings up an important point, Susanna, and I want the crux of our talks to be the ethics first mindset. So it doesn’t matter what contract you have signed, ethics first mindset is something that we all need to strive for, and that’s what we are trying to do. We are trying to celebrate the ethics first leaders of today and raise the next generation of ethics first leaders of tomorrow, because at the end of the day, just like you mentioned, you can hire an ethical hacker – their job is to find the vulnerabilities, they have a contract in place, but if they don’t have an ethics first mindset, then they can misuse that information to their advantage. How do we stop that? That can only happen on a personal level, when people genuinely feel like they are responsible to society, and they need to do the right thing. The strong moral foundation needs to be there, and especially in this role more so than other roles, to be able to make sure that it’s done right.
18:56 Susanna: Definitely, I mean, everywhere, you have to have an ethics first mindset. You could sign millions of NDAs, but it still comes down to what you feel in your heart and how you have grown up and with what value systems that is more true, that is going to be stronger than an NDA, because nobody reads an NDA. So there is no point in writing a strong NDA, it only matters how much we are building that relationship of trust and integrity into our citizens and our youth and leaders. But still, that being said, that does not get them off the hook, they should still come up with regulations for ethical hacking, especially during the pandemic.
19:40 Susanna: As Sam mentioned, and I think we also had an internal document of research that I saw, there has been an increase in the need for Ethical Hacking during the pandemic because all of us moved to remote work. So during this time, when there is an increase, the market is wide open to a lot of people, and when there is a need and a demand, you don’t go through the same vetting process that you would in a normal circumstance – you just let in more people. So we all have been exposed to a lot of vulnerabilities that we are not even aware of now in the last two years. So it does not dissolve anyone from not having the responsibility to go after regulations.
20:31 Shilpi: Even if you read an NDA, at the end of the day, if you want to do something wrong, there can be legal battles, you can have the fights, but the damage will be done, our customer data can be misused, it can be sold on the dark web and once these things are done, yes, you can keep beating the snake, but the snake has gone right. So it’s no longer going to be there. So yes, all these fines and the ethics first mindset, being a good morally responsible person at the crux of it is the most important thing.
21:09 Shilpi: But on the other side, which is a little bit rosier, also background [?] that has built a whole business of crowdsourcing ethical hackers on a platform, they provide training and they come up with reports.
21:26 Shilpi: They said that they estimated that $27 billion in cybersecurity costs were saved in investigation, remedy action and recovery incident investigation and recovery during the course of the pandemic.
21:34 Shilpi: And that’s how the CIA SOs were helped for big organizations, the CIA SOs and the CXOs, they were helped because of ethical hacking, that’s their report. So if $27 billion can be saved, and losses can be mitigated, then I think there is some truth to that story.
22:07 Shilpi: Yeah, I think it’s a good point, I think we’ve got to think about these organizations and just how much work goes on in the background. Really what you’re doing is you’re trying to protect – imagine you have your own organization, your own software, your own IP, you have to think about that, you have to think about – if that gets lost, what impact will that have on your operations and profitability? So that’s always going to be in the back of their mind, right? Of the CXO and CIA SO.
22:45 Shilpi: Yeah, it’s my neck on the line, right? Yeah, we have had this discussion before – even the CXOs, nowadays, if there is a breach, all they have to do is inform, so what they’ll do is send out an email saying ‘ We have had the security breach’ and they don’t even confirm that your data was stolen. It’s like, yes, there was a breach, and this many records were affected, and we don’t even know if your record was one of them, but it’s our duty to inform you.
23:19 Shilpi: So there’s this blanket, and we should have some regulation on that, so some more tighter measures need to be there, in governance it needs to be there in terms of laws. Just this blanket statement, and acknowledging that something has gone wrong is not enough.
23:43 Shilpi: Especially with the data of minors – they won’t even know that something has gone wrong until they become adults and they want to get into college, get a credit card, buy a new house, buy a new car, whatever that first buy is, their first car or their first house or whatever that may be – until that point they won’t even know.
24:05 Shilpi: That identity for 10, 15, 20 years has been misused, and who knows what’s on it now. So those are the kinds of things that we need to think about a lot more when it comes to ethical hacking, or when it comes to cybersecurity.
24:25 Shilpi: Susanna touched upon this but there is this bigger topic about how the pandemic has affected this industry, the ethical hacking industry. What do you guys think? Has it exploded? Increased? Are there more ethical hackers in place? If so, why?
24:25 Sam: I’m actually quite surprised at the numbers because, again, I was doing some reading of a couple reports, and I thought, well let me see just how much things have changed during COVID. And there has been quite a significant increase in the number of vulnerabilities that were found.
25:14 Sam: I would have expected there to be a correlation between always working from home remotely, and the number of vulnerabilities that were spotted by ethical hackers, and there has been. I think they said something like 80%, more vulnerabilities are found that they’ve not seen even before the pandemic.
25:30 Sam: We’re working with our data a lot more at home, and obviously conversing online a lot more, and we’re not in the office, and it’s a completely different aspect isn’t it. It’s obviously a great industry to get into if you want to practice your craft and become a really successful ethical hacker, it’s a good time to practice.
26:05 Shilpi: Because of all these remote workforces, right? We’ve been confined to working from home, so all this stress testing that need not to happen also has to happen now – even if you have been given a computer, or a laptop, or a device from work, but still your internet connection, your setup of Wi Fi systems and all of that, how secure your system is internally, and how you’re connected to the office network, all of that plays an important role. From all parts of the world, people were stuck, and those who could be physically in one location are now not. So yes, all of this has impacted the rise and increase in cybersecurity crime. And the increase in crime has led to the increase in the ethical hacking industry where companies are feeling more and more vulnerable, and they want to make sure that they are protected before a bad element gets into their system.
27:20 Susanna: Yeah, this was somewhere in an article I read, that this was one of the largest stress tests on the internet, and the internet didn’t fail, but it revealed to us a lot of the vulnerabilities within that bandwidth itself, especially for online banking, medical doctors and medical institutions around the world had to scramble at the last minute to move to remote, interactions and interactive ways of seeing patients that were secure enough because they couldn’t use Zoom so they had to come up with their own apps. Those apps had to be developed overnight. You could be having a conversation with your doctor and they want to see something and you’re showing them – and imagine if that gets attacked or hacked and your video gets out on the web. Yeah, there was so much going on, and that’s why the need for hackers really shot up. But it’s a difficult time period we’re living in and so there are things that happened that we cannot even predict.
28:50 Shilpi: This definitely is an important stream, and some ethical hackers have claimed to do this full time, or to do this part time, some of them say that any more it pays them more than any other job in the industry, and they can always work at home. Obviously, they have to put their ethics at the heart of it, but it is a viable career path these days.
29:19 Shilpi: So what are some of the skill sets according to you that are necessary? If I want to become an ethical hacker today, what are the skill sets I should look for to acquire?
29:29 Sam: I think for a graduate or young trainee to go into the market now they need to have a range of coding skills as fundamental understanding. So, they’ll have to have some JavaScript and Python, some C sharp, maybe, and also SQL because each of those programming skills will then allow you to test those vulnerabilities in their software code.
29:55 Sam: Yeah, I think fundamental computing skills you need to know, and networking, and you need to know how to build a computer in the hardware and software components, I think all those are really important in my view. So your hardware knowledge, definitely. And obviously networking, internal networking, and obviously wider area networks, things like that. And you’ve got to be persistent and be a problem solver.
30:29 Susanna: Yes, you definitely need technical skills, but I could give you an example of how you could become an ethical hacker and have zero technical skills – somebody found out that the router password on a satellite was set to the default, and that required no technical skills at all. All the router passwords have a default password, and somebody on a satellite didn’t even bother to change it, so that’s all; somebody found that out and they just informed them.
31:12 Susanna: So you don’t really need a high technical skill, but you need to pay attention to details, and that’s why you need that outsider perspective because how matter how many times, it might be 10,000 times that you read an article you wrote but after you publish it you see, right there glaring in front of you, 10 stupid mistakes that you didn’t even see because we don’t have the ability to see it unless someone reads it for us.
31:48 Shilpi: So this is very interesting, and I read somewhere that not only does the ethical hacking community consist of really young people, from 25 to 35, but it is also very ethnically diverse.
32:06 Shilpi: One of the powers includes communication, attention to detail and curiosity besides the technical skills, and they have to be digitally native, and that is basically what people between 25-35 are. They are ethnically diverse, they are digitally native and they are establishing their career at this time where the market is mostly insecure, so they have a great chance at succeeding at this.
32:40 Shilpi: It’s also great for people with neurodiversity who have ADHD, or autism, because they already have attributes like memory skills, and they have heightened perception and attention to detail which means they would be great at this if it was something they wanted to pick up as a career.
33:07 Shilpi: It’s a fast-paced environment that rewards creativity and difference in thinking and this could be a career path for them.
33:22 Shilpi: So, has our conversation changed your perspective on ethical hacking and ethical hackers?
33:32 Sam: I think so, for me definitely it’s been a really good discussion looking at just how much has changed this past couple of years and from a company’s perspective why it is so important. But also from what you and Susanna said, that it’s actually important that we have someone from the outside detecting those vulnerabilities, that’s something I’ve definitely learned from this evening.
33:56 Shilpi: Yeah, definitely. How about you Susanna, did we help change your first impression?
34:04 Susanna: Yeah definitely, especially the neurodiverse population, they don’t crave external attention that much so they really need a task they can focus on and they give focused attention to detail, because details are something that we may get bored with but they don’t, they find it very interesting and stimulating, and they don’t’ do very well with external people who are talking and chatting and all of those things.
34:37 Susanna: So that helps them focus on this type of task and since it pays well, that’s a good idea.
34:42 Shilpi: Awesome, yeah I learned a lot as well. Coming up with this topic, I did some research and this helped me learn and understand and change my perspective too. Even though I knew ethical hacking existed I didn’t know much about it, or that it has become mainstream. There are certifications now available for it, there’s crowdsourcing platforms available for it.
35:09 Shilpi: Of course, we talked about the ethics bounty system last week which was parallel to this conversations which means that once you hire ethical hackers, whether inside the company or outside the company, then you give a reward as a bounty to people who are able to find those vulnerabilities for you, so it helps them and it helps you.
35:34 Shilpi: Yeah so ethical hacking, and ethics bounty systems, these are all great conversations, and with so much technology and it’s problems, if we are going to think about ways to solve these challenges in really creative ways I think that we’re going in the right direction.
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